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This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
0. Cover Page
Title of project: Optimal rehabilitation smart glove
End market(s) targeted: (Protection, sports, medical, consumer health, industrial, architecture,
interior, transport…) remember that fashion applications are excluded
List of SMEs/start-ups participants (Please only fill in lines 2, 3… if your project is composed of
more than 1 SME/start-up applying for direct funding from SmartX)
Participant No Participant (organization
name)
Country Please describe in 2-3 lines what the
SME/start-up is specialized in
11 IMAZ TECHNOLOGY INNOVATION, S.R.L.
Spain Technology provider, specialized one development
of Flexile and Printed Electronic. It has complete
value chain of development from raw material
production, ink formulation, printing methods,
device development and characterization
List of other contributors to your project (please mention any organization that will directly
contribute to or participate in your project activities, whether being compensated by the SME
applicant or not)
Contributor
(organization
name)
Type of
organization
Country Please describe in 2 lines what the partner will
do to contribute to the project
EURECAT Research Organization
Spain Integration of the sensors in a usable glove. Characterisation of the performance of the concept. Short series production.
Pare de Salut
Mar (PSMAR)
Large
healthcare
institute
Spain Healthcare facility with a complete range of
healthcare and tertiary services to validate the
final product within their facilities
1 Main applicant must be SME/start-up
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Evaluation Part 1 – Business Innovation Potential (max. 5 pages)
● Describe your targeted innovative solution addressing a clear market need.
Rehabilitation procedures help patients who have suffered from chronic problems that may affect their hand
function. The recent developments in wearable and Internet-of-Things (IoT) allow to monitor the
rehabilitation progress with more accuracy and reliability. Our optimal rehabilitation smart glove is an
accurate, reliable and automated solution for self-tracking and quantifying the rehabilitation progress of
patients on real time. It measures hand joints movements with high accuracy of <1º, by using the pressure
sensors at the fingertips and hand palm measures the grip strength, additionally it includes 9 axis
accelerometer to measure orientation of hand and as well the electromyogram (EMG) sensor for measuring
the muscles activities and monitoring of nerve signal strength. The smart glove interfaces with the user by
using Bluetooth for communication. The combination of the smart glove with smart phone/Table/PC
applications allows the therapists and patients to keep record of their progress and monitor the rehabilitation
process. Wearables are gaining widespread use and technologies are making it possible to monitor human
physical activity and behavior as part of connected infrastructures. Several assessment techniques and tools
are currently available, but not fully computerized, nor set in a useful single device. Measuring hand range
of motion (ROM) and force is not exclusive for medical application, but also for athletic activities monitoring.
Our innovative smart glove is a sensor-embedded glove which measures hand motion and contact pressure
and assesses muscle function (biofeedback) during rehabilitation process or gesturing and manipulation
tasks. Human hands, specifically the wrist, play a crucial role in performing various activities in daily life. Many
daily activities pose hazards to wrist and hand postures. Generally, wrist disorders could be recovered by
undergoing rehabilitation exercises. Muscle strength is one of the most important standards that reflect level
of human health. In physical therapy, rehabilitation is required for patients with conditions such as hand
injury caused by sports or working with computers, trauma or surgery, and stroke. For such patients, the
decreased range of motion (ROM), flexion, and/or extension cannot be regained fully. In the rehabilitation
process therapist evaluate the level of disability, to select the suitable therapeutic strategy and to track the
effectiveness of treatments. Some exercises are recommended in hand rehabilitation are flexion, extension,
wrist rock stretch, ulnar deviation, radial deviation, pronation, and tendon glides. Proper hand rehabilitation
is needed for vocational and functional restoration of hands that has been helpful in retraining hand function
and decreasing the spasticity seen in stroke conditions. One of the major problems causing dysfunction of
hand is spasticity and the most important step in the evaluation of injured hand is muscle strength
assessment. The biofeedback from smart glove and artificial neural network algorithm using backpropagation
method for the classification of the injury level with high accuracy in real time helps the rehabilitation process
to restore the ability of daily living performance.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
● Explain your competitive advantage over existing solutions.
Treatment for hand deformities is planned by doctors and clinicians after performing a complete checkup of
the patient using radiative techniques, such as X-rays, or manual techniques, such as inspection of hand,
health assessment questionnaires and examining a range of motion of all hand joints. The prescribed
treatment mainly consists of physical therapy of hands to strengthen the muscles and thus recover the lost
functionality of joints. People engaged in rehabilitation operate in the dark, lacking actionable real-time
exercise guidance. Our smart glove is a user-centric data capture platform for a range of current and future
intelligent rehabilitation, healthcare and exercise products and services, addressing the therapeutic,
motivational and training needs of patients and athletes. For a short time, we are launching an exclusive
program for the team of therapists at Parc de Salut Mar (PSMAR), Centro Forum at Barcelona, Spain, selected
patients will be the first to use our devices. PSMAR will evaluate the desire of patients, Physiotherapists. The
user’s need assessment will use to complete the requirement, usability and acceptability evaluation,
behavioral and subjective impact (clinical study). As a result of the feedback, the design of glove, monitoring
parameters, required resolution for each sensor, data managing and application interface will be optimized
in order to develop more user friendly product and as result improve recovery time, real time monitoring
and decision making based on patient recovery history. As a long-term strategy, we will promote our product
and results through ddistribution channels: health insurance organizations, B2C smart garment companies,
etc. Demonstration events: MEDICA Trade Fair, Health & Rehab, exhibition for disabled people, social
networks, conferences, workshops and European occupational health conferences, scientific and
technological magazines and publications, project website, press releases, general purpose newspapers and
magazines. Over the past 30 years or more, researchers have begun developing wearable devices, particularly
glove-based systems, to recognize hand gestures. Different working principles have been studied during
these years to find a good trade-off between precision, accuracy, and obtrusiveness. Traditionally therapists
monitored rehabilitation progress by using either universal goniometer or electric goniometer for measuring
the range of motion (ROM) and dynamometers for hand grip force measurement. These methods combined
with assessment questionnaires to quantify disease progression and audio-visual feedback are used to
monitor the rehabilitation process. Comparison of Various Wearable Technologies for Rehabilitation Glove
to measure ROM can be categorized in: flex sensor based, accelerometer based, vision based, hall-effect
based, stretch sensor based and magnetic sensor based (●: Desirable,●: Nominal,●: Worst).
Technology Accuracy Performance Cost Lifetime
Flex sensor based ● ● ● ●
Accelerometer based ● ● ● ●
Vision based ● ● ● ●
Hall-effect based ● ● ● ●
Stretch sensor based ● ● ● ●
Magnetic sensor based ● ● ● ●
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Our solution intends to address an optimal rehabilitation glove in terms of accuracy, cost and reliability.
Much attention has been given to glove-based systems because of the natural fit of developing something to
be worn on the hand to measure hand movement and finger bending. A glove-based system can be defined
as: “a system composed of an array of sensors, electronics for data acquisition/processing and power supply,
and a support for the sensors that can be worn on the user’s hand”. The various devices can differ based on
sensor technologies (i.e. piezoresistive, fiber optic, hall effect, etc.), number of sensors per finger, sensor
support (i.e. cloth or mechanical support), sensor location (i.e. hand joints, fingertip positions, etc.), and
others. A typical example of a glove-based system is the CyberGlobe, a cloth device with 18 or 22 piezo-
resistive sensors that measures the flexion and the abduction/adduction of the hand joints (depending on
the number of sensors, the measurable movements increase). It is considered one of the most accurate
commercial systems and has provided good results in recognizing sign language based on the biomechanical
characteristics of the movement of the hand. CyberGlove showes good results also in applications of robot
control and 3-D modelling. Another example of a glove-based system is the 5DT Glove, which is based on
optical fiber flexor sensors. The bending of the fingers is measured by measuring the intensity of the returned
light indirectly. Each finger has a sensor that measures the overall flexion of the finger. This device is famous
for application in virtual reality. The smart glove which uses only flex sensor problem of repeatability and
decreases in their accuracy over time and exhibit moderately slow response time due to their physical
deformation. KeyGlove, Gest and Acceleglove use accelerometers to provide gesture recognition capabilities
for PC control and gaming consoles. The accuracy of these gloves is up to a few degrees, which makes them
not too suitable for precise measurement of hand joint angles, which is a requirement for rehabilitation.
Other examples of glove-based systems used for sign language include cloth supported bend sensors based
on the Hall Effect mounted together with an accelerometer as well as flex and contact sensors. At university
of Pisa, N. Carbonaro added textile electrodes and an inertial motion unit to the deformation sensors of the
glove-based device to add emotion recognition made through electrodermal activity. As conclusion all these
gloves with different technologies provide reasonable alternatives for input devices for gaming consoles but
they are not suitable for hand rehabilitation since their sensors are not placed for measuring the
corresponding joint movements with high resolution and proper backend system for data analysis and
recovery monitoring.
Describe your business model.
There will be a partnership with a service provider that host the platform (ex. Microsoft Azure). IMAZ is the
hardware provider (design and development of the new versions of the sensing glove) always working to
provide improvements, new versions of the glove. IMAZ being the ideator of the system has also revenues
on the service provided by the host of the platform. Service is provided to rehabilitation centers, to public
health system (PSMAR), to Mutual Insurance Company for Occupational Accidents and etc. The sensorized
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
glove is a consumable to provide data to the platform. The model to offer the service includes license to use
the platform and the use of the glove can be associated to direct sales or to a rental model (service revenues
and subscription). Ones the project is finished a new investment will be needed to develop a platform to host
the service. EURECAT will help to find possible partners for these collaborations since they have work with
entities that are already providing platform services to health institutions for other kind of applications. The
multi-patient hire method is based on contacting different health centers that match our profile of patients,
we rank each one and summarize their profile, patient portfolio and number of therapists with full contact
information. At this point, IMAZ will present the smart glove with full details and how they could launch the
monitoring system in their center, after reaching an agreement performing final due diligence and securing
a contract! The rising demand for sustainable healthcare systems has increased the importance of Active &
Assisted Living (AAL) Programme developments, services, and products by the member countries and the
European Commission. The market for medical electronics is expected to reach USD 6.6 billion by 2025,
whereas the smart home market, which has been experiencing steady growth, is expected to reach USD
151.4 billion by 2024. Thanks to the Internet of Things (IoT), driving the next generation of connected
healthcare, the digitalization of healthcare is already underway, but because of the slower tempo of
technological adoption by healthcare insiders, as compared to other industries, digitalization has not been
so obvious. The digital revolution is arriving at a hospital near you, and not a moment too soon! And this will
help us to grow beyond the initial market. The smart glove can provide information to physiographists even
from home which gives ability to control the recovery plan of patients. Right now, the manufacturing of the
sensorized glove is quite complex process that requires many manipulations. We expect to overcome this
limitation to scale up the business during the smart-x project where we plan to identify main limitations for
an optimal industrialisation process in order to redesign the maximum and minimise the complexity of
manufacturing. Thanks to the collaboration with EURECAT and PSMAR, this main issue will be addressed.
Describe how you plan to develop, maintain and grow your customer relationships?
IMAZ Primary sales strategy is based on a direct sale and services to the host of the platform such as
rehabilitation centers, public health system, mutual insurance companies for occupational accidents and etc.
in strategic geographical zones (Spain and Europe first, USA and Japan in the second phase) with a product
able to compete with gaming technology such as Cyberglove and KeyGlove. To do so, a commercial team
from IMAZ Primary will be dedicated to each of those areas under supervision of Texfor as couch with the
following market entree phases: Phase 1: Smart glove consortium. One of the key points of our commercial
strategy is the establishment of consortiums and agreements with key companies and health centers in order
to get easier and faster entrance to the market. Our objective is to exploit image and resources of
multinational enterprises and launch our innovation into the international market. An agreement has been
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
already signed to ensure the development of IMAZ primary smart glove with UPC university. Additionally
Parc de Salut Mar, Centro Forum at Barcelona Parc (PSMAR) as large end-users and contributor to this project
will validate the final product which will develop within this project by collaboration with Eurecat under
supervision and couching support of Texfor. This will ensure a quick first sale in the first 6 months in the
market at a national level. As an example of Market volume with approximate 6000 patients per year (one
Clinic with 6 Therapists). Considering, 25-38% of patients who suffers from hand and wrist injuries, and taking
into account the lifespan of 2 years for each glove (8h continues use) this represents around 750-1140 smart
gloves per year only for the micro-scale regional market. Furthermore, other profitable companies and
consortiums in the health sector will be explored. Phase 2: Demonstration and visit to new clients (mainly in
Europe). Through the SmartX platform and The European eHealth Multidisciplinary Stakeholder Platform
(EHTEL), a commercial presentation of IMAZ and its product will be organized with other European health
centers. First meeting will be in February 11-12, 2021, ICPTSTMI 2021 at Barcelona, Spain. In March 2021 the
IMAZ will participate in competition for best start-up innovation prize for European call LOPEC 2021, this
allows the development of the technology in the frame of the most advanced applications in printed and
flexible electronic. Phase 3: After a 1-2 years sale experience in Spain, IMAZ will start its commercial activities
in the European market having its own sales offices. Phase 4: Around the same time, IMAZ will launch the
development and design of new smart gloves for athletes and gamers and other formats to access new
market sectors. Previously to commercialize our product we will have the CE Marking, fundamental
requirement for medical devices. The Medical Device Regulation (MDR) came into force as a new EU
regulation for medical devices in May 2017, this is set to replace the Medical Device Directive 93/42/EEC
(MDD). We will establish stable and long term service contract with customers, branding and will create unit
image in e-Health and rehabilitation monitoring systems (especially smart gloves). We will do updates and
upgrades of the glove and its application in a regular basis, in order to maintain quality and customer
satisfaction.
● Describe the motivation and incentives of your company and your partnership
The main motivation is to use our technical knowledge to create a more effective solution for rehabilitation
programs and in this way to contribute to improve the quality of life of people suffering from chronic
problems that may affect their hand function. By consideration of current status of product and its maturity
level, technically and scientifically experience of teams involved the project, it will have a very low probability
of facing any blocking obstacle which cause to abandon this project. Even though in case of meeting
obstacles, or already detected risks with contingency plan, we will consider to add new partners,
collaborations and will search for new ways to finance the project such as new calls and investors to solve
any issues on our way of success. The only reason to abandon would be in case of force majeure.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Evaluation Part 2 – Operational Excellence (Max.3 pages)
Describe the status of your project at time of application
By combination of different technologies together we developed an optimal rehabilitation glove in terms of
accuracy, performance, reliability, cost and the lifetime, which are the most important parameters while
designing a rehabilitation glove. Important to note that the accuracy parameter considers for both the
sensing ability and the response time of a wearable technology, i.e., the desirable accuracy would mean to
precisely and efficiently detect the movements. It is clear that the flex sensor and accelerometer are the most
optimal technologies for finger and wrist range of motion monitoring. The flex sensor based technology
provides the best accuracy and lifetime, while the accelerometer based technology provides the best
performance and cost. Flexpoint bend sensors to measure the joint angles, and pressure sensors at the
fingertips and hand palm to measure the grip strength of the hand and finger force. The pressure sensors
made up of polyester with a linearity error of ±<3%, repeatability of ±<2.5% and a response time of <5 𝜇s. In
order to increase the reliability and resolution of sensor, the raw data from these sensors is conditioned using
a voltage buffer, which is implemented using the LM324 Operational Amplifiers (Op-Amps). The MPU-9250
Nine-Axis (Gyro + Accelerometer + Compass) MEMS MotionTracking sensor integrated the wrist to measure
wrist ROM Additionally EMG 100716 with Bandwidth: 25-482Hzand Input impedance: 10GOhm used to
analysis and monitor of electrical signals emanating from skeletal muscles. Low cost, Low power consumption
(2.8 to 3.6V) and small size microcontroller such as ESP32 with an integrated Bluetooth and WiFi, 18 high
resolution analog inputs (12 bits) is incorporated to central unit of smart glove. The smartphone application,
interfaced using Bluetooth, with the glove for easy user accessibility. The app mainly allows data
management of disease progression and sharing of data with therapists and other patients. Moreover, the
app also facilitates the therapists in keeping record of all patients and facilitate a comprehensive diagnosis
process and thus more effective treatments. As current status of overall status of project based on
technology readiness level (TRL) is TRL5/6 and for each subsystem differently according to the following: -
Sensors (TRL9), - Integration in textile glove (TRL4). - Electronic control unit (including firmware for signal
processing) (TRL5), - Back end system (Intelligence to evaluate data coming from the wearable and
visualisation) (TRL2/3). The developed system exhibited quite promising results for overcoming the major
shortcomings of conventional methods of hand joints monitoring and thus has the potential to revolutionize
the field of hand therapy. The high accuracy allows us to keep track of even the slightest increase or decrease
in the range of motion of hand joints. The smartphone connectivity allows sharing the live progress with
therapists and other patients, which greatly facilitates the rehabilitation process.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Describe and explain the concept and plan of activities that you and your partners will
implement during this project.
Main task to be performed during the project, responsible for the task and planning on timeline are
summarized in the following figure:
Milestones (M) and deliverables (D) expected during the project are described in the following text:
D1: First report on validation and characterization of sensor and smart glove
D2: Second report on validation and characterization of sensor and smart glove
D3: End user validation: usability, acceptability and functionality: optimization feedback
D4: 5/10 units Smart Glove production series, Final report for characterization and validation
M1: Time Schedule, Production of electronic (performance requirements and volume)
M2: Integration of sensor and electronic part, comfortability and usability of Smart glove
To finance the planned work, we are requesting 60,000€ of funding over 12 months. 20K€ of Expenses
related to project management, optimization of sensors, monitoring and placement, electronic and
firmware optimization that will be carried out by IMAZ. According to the plan in order to optimize the
product some activities need to be subcontracted. In all cases, the subcontracting process respects the
framework for subcontracting expenses within SmartX program assuring the best value for money according
to the rules. The identified subcontractors are: 35K€ for smart glove product development, sensor
integration and short series manufacturing of 5/10 units for user validation, EURECAT. 5K€ dedicated for
system validation, mainly focused on acceptance, usability and functionality, PSMAR. Following table
summarizes the budget distribution during the project:
Participant
No2
In-house
personnel
costs
Sub-
contracting
Material/
Component/
Technology
Travel
costs
Other
costs
Total Lump Sum
1 10,000€ 40,000€ 7,000€ 2,000€ 1,000€ 60,000€
Use 1 line per SME applicant. If only company applies for funding, use only 1 line.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Describe the team
Dr. Maziar Ahmadi Zeidabadi as an Associate Professor at Polytechnic University of Catalonia (UPC) and Co-
funder IMAZ Technology innovation S.R.L. is holding the Doctorate (PhD) in electronic engineering at
Polytechnic University of Catalonia (2016). His specialization and experience focused on the developing
manufacturing MEMS / NEMS devices. He has long experience in development of micro-devices, especially
3D micro-energy storages, Li-battery ion and supercapacitor. In addition, his research also included the
functionalization of pigments, the formulation of conductive and functional inks (Aqueous and organic base)
and developing flexible devices and stretchable printed devices.
Dr. Herminio Martínez-García is holding Ph.D. degree in Electronics Engineering from Polytechnic University
of Catalonia (UPC), Sine 2006 he is an Associate Professor at (EPIC) Group of the UPC. His research focuses
on the area of DC-DC power converters and their control, and analog circuit design with emphasis in analog
microelectronics. He has participated in 8 European international and 14 Spanish national research projects.
He has authored or co-authored about 65 scientific papers in journals, 218 in conference proceedings, and
35 books and book chapters.
Rosa Rodriguez is a senior researcher and leader of the eTextiles group at Eurecat– Centre Tecnològic de
Catalunya, holding BA. in Fashion from University of Southampton and EATM. She has extensive experience
in experimental textile design and in the development of demonstrators for intelligent and interactive textiles
for various fields of application such as health, motor and cognitive rehabilitation, sports, games and
entertainment, and interior design. She is a teaching at Elisava- School of Design and Engineering, and Escola
Massana- Art and Design Centre.
Virginia Garcia is leading the Functional Textile Research Unit at EURECAT since 2015. She is holding BS.c. In
Telecom. at University of Málaga (ETSI / UMA). She has experience in integration of RFID antennas within
functional textile structures and intelligent devices. Her market knowledge and long experience on textile
based solutions for industrial companies, she has become a referent on the research and innovation for
textile ecosystem, both national and international. She provides tools to textile companies to get close to the
new technologies and the innovative opportunities.
Dr. Esther Duarte (female), MD, PhD is a Physical Medicine and Rehabilitation (PMR) specialist ,President of
the Catalan PMR Society, board member of the Spanish PMR Society and Prof. of Neurorehabilitation the
Universitat Autònoma of Barcelona. She is the responsible of the Rehabilitation Research Group (RERG) in
the Hospital del Mar Medical Research Institute. Her work focuses on translational research in the field of
stroke rehabilitation. In particular, she is interested in the management of spasticity and the use of new
technologies in the upper limb recovery, specially Virtual Reality and Music-supported therapy.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
Evaluation Part 3 – European Smart Textiles Market Acceleration (Max. 2 pages)
European dimension of the partnership:
IMAZ Technology Innovation S.R.L. is a Start-up as part of group CIFMA, Polytechnic University of Catalonia
(UPC), It main activities and specialty is development of flexible and printed electronic, It contributes to R+D+i
in Printed electronic such as ink formulation, design and printing of lab-scale products for the promotion of
flexible and stretchable electronic. Additionally IMAZ development and commercialization of eco-friendly
process of metal Nano powder production that allowed us to supply our customers with low cost Nano-
powder.
Mar Parc de Salut de Barcelona (PSMAR) is a public institution responsible for several health care facilities
in the Barcelona area, including two general hospitals, an institute of psychiatry, an institute of geriatrics,
and various outpatient facilities dedicated to mental health, addictions, primary care and family planning.
The Rehabilitation Research Group (RERG) lead by Dra Duarte finds its main scientific objectives in advancing
in the knowledge on brain plasticity and motor recovery after brain damage, as well as evaluating the effect
of physical training on lung and heart diseases, cancer and ageing. RERG has participated in several studies
on neural plasticity observed through neuroimaging techniques from Music Therapy and Virtual Reality and
its effects on the motor recovery of the upper extremity in acquired brain lesions. Other lines of research on
neuro-rehabilitation are the study of oropharyngeal dysphagia and respiratory muscle training for patients
after a stroke.
Eurecat is currently the leading Technology Centre in Catalonia, and the second largest private research
organization in Southern Europe. Eurecat R&D, innovation and training activities span from Industrial
Technologies (metallic, plastic and composite materials, manufacturing processes, autonomous and
professional robotics, functional printing and fabrics, simulations, sustainability and Chemistry) to Digital
Technologies (Digital Humanities, Big Data Analytics, IT Security and Smart Management Systems, e-health,
data mining and multimedia technologies) and Biotech (Omic science and Nutrition & health. EURECAT as an
expert of Functional Textiles is one of the leading technologies centres in the development of the yarn
processing as well in the development of the woven and knitted structures for smart textiles. Exploring of
the textile structures and hybrid integration of different materials has generated new components to be used
in textile electronics. Besides, the core competence has increased in the area of using knitting, weaving, and
3D textile structures with new innovative ways.
Describe the research you have done
This project intends to be concluded in 12 months in order to have a Minimum Viable Product (MVP) previous
to the final product. However, dissemination actions will strongly continue after we will have a MVP for
validation through IMAZ and Eurecat, existing channels as well as new stakeholders which will be identified
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
during the implementation. IMAZ has segmented the clients’ universe for the purpose of communication by
sectors or segments of market. Besides, we will propose a range of specific activities that may be summarized
as follows: Website with the relevant technical information about the smart glove, including different
versions of the product, documentation, updated software, and audio-visual guides to support for the
monitoring systems and clinical application. Programmed, personalized and periodic visits to each customer,
organized to present the latest news concerning technology, updates, production, quality and logistics. The
actions described will be complemented with others aimed at the general market and they will serve to
promote our product image and its applications, and to arrive to possible hidden customers, as well as the
identification of new niches, i.e. such as Athletes and Gamers. Some actions include: Fairs. IMAZ will attend
to MEDICA (November 2020 Dusseldorf) and MATELEC (Madrid) fairs with special emphasis in medical
equipment sectors and electronic equipment respectively. Other fairs to be planned are LOPEC 2021 and the
IDTechX 2021 in Germany. Specifically, it is foreseen to have stand at LOPEC 2021. Technological and
scientific conferences. IMAZ will take part in different events such as seminars, workshop, congress, from
our technological responsible for the product promotion among scientific media. It is considered underline
that normally scientist of this sector acts as prescribers of technologies among end-users. IMAZ has been
participating in this type of congress for two years and the plan is to continuate as a suitable strategy.
Statistical analysis of patents (OECD.Stat) with specific IPC of G06F shows growth of 30% in total number of
patents and since 2019 with specific key word of “Smart Gloves”, scientific publication 122 articles and 25
patents has been published. Hence an Intellectual Property assessment with the scope of ensuring the
commercial exploitation of our innovation will be concluded during the feasibility study within the project.
The study will conduct by IMAZ and Eurecat that assess the “freedom to operate” of Smart glove market,
considering: 1) presence of competitors; 2) geographical areas. Eurecat has been selected as the technology
provider for its long experience in the integration of sensors and electronics on textile products. IMAZ has
been developing the total integrated smart glove with innovative materials, and the development of custom
new flexible and printed sensors that will offer opportunity for new patent applications. Beside this
patentable IP, substantial knowledge with regards to scale-up and improvement of the production process
will be generated, both for technology manufacturing and for product assembly. This knowledge will be kept
secret by IMAZ and its strategic partners Eurecat and PSMAR. Additionally majority of sensor-gloves
dedicated to virtual reality and gaming industry which does NOT require high quality design neither precision
of sensors as results but they are not adequate for rehabilitation and healthcare market. As secondary
advantage of this project, the precise and high quality smart glove as outcome this project provide wider
range of target markets such as Sport and fitness, Industry and Automotive, personal assistant for
impairment people and also virtual reality and gaming industry.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement N° 824825
This technical application form contains confidential technical and business information.
While all SmartX project partners (Coaching Organisations) and Selection Committee
members have signed non-disclosure agreements (NDA) barring them from disclosing any
details to third parties, you can restrict access to this document to any of our Coaching
Organisations or Selection Committee members.
Coaching Organisations
Tick to restrict access
Selection Committee members Tick to restrict access
Centexbel, BE Stefano Carosio, Unismart – Uni. of Padua, IT Euramaterials, FR Joao Gomes, CeNTI, PT IFM, FR Rainer Guenzler, Hahn-Schickhart, DE Citeve, PT Simon Hjelte, Incubator Boras, SE Steinbeis, DE Romano Hoofman, imec, BE DSP Valley, BE Raquel Ledo, CTAG, ES Texfor, ES Julien Payen, Lattice Medical, FR CITC, FR Etienne Fradin-Beaugerie, UTC, FR Pointex, IT Henk Vanhoutte, European Safety Federation, BE Sourcebook, DE Daniela Zavec, Titera, SI Smart Textiles, SE Christian Dalsgaard, Ohmatex, DK DITF, DE Francesca Rosella, CuteCircuit, UK
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