skinput report1
TRANSCRIPT
Skinput technology
Dept. of Computer Science & Engg., C.O.E.,Ambajogai Page 1
1) Introduction:
The world is going crazy over an invention, which is known as mobile
phones. The Mobile devices became popular in less time due some advantages they came up
with, like portability, flexibility, mobility and responsiveness. These devices easily get fit in
our pocket means we don’t need to carry any extra surface area with us. Devices with
significant computational power and capabilities can now be easily carried on our bodies.
However, their small size typically leads to limited interaction space and consequently
diminishes their usability and functionality. Since, we cannot simply make buttons and screens
larger without losing the primary benefit of small size.
Appropriating the human body as an input device is appealing not only
because we have roughly two square meters of external surface area, but also because much of
it is easily accessible by our hands (e.g., arms, upper legs, torso). Furthermore, proprioception –
our sense of how our body is configured in three-dimensional space – allows us to accurately
interact with our bodies in an eyes-free manner. We can use any part of our body as an input
surface but the for comfortable operation we need to use our arm as an input. Skinput is a
method that allows the body to be appropriated for finger input using a wearable bio-acoustic
sensor.
The technology was developed by Chris Harrison, Desney Tan, and Dan Morris,
at Microsoft Research's Computational User Experiences Group. Skinput is a combination of
three technologies which are pico-projector, bioacoustics sensors and Bluetooth. Pico-projector
will display mobile screen on our skin. As according to our need we tap on our body. After
tapping some vibrations are produced through our body, those ripples are captured by
bioacoustics sensors which are mounted armband. These armband is connected to the mobile
device by wireless connection i.e. Bluetooth. Mobile device consists of a software which
matches these vibration signal with the store signals and desired operation is performed. We
have use Support Vector Machine algorithm i.e. supervised learning algorithm to train our
software. At initial stage we have to store the signal data from each location of our arm which
is the reference signal for our software. Skinput employs acoustics, which take advantage of the
human body's natural sound conductive properties (e.g., bone conduction). This allows the
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body to be annexed as an input surface without the need for the skin to be invasively
instrumented with sensors, tracking markers, or other items.
The description of the design of a wearable sensor for bio-acoustic signal
acquisition. Also the description of an analysis approach that enables skinput system to resolve
the location of finger taps on the body. In this we present working on skinput—a method that
allows the body to be appropriated for finger input using a wearable bio-acoustic sensor. When
coupled with a pico-projector, the skin can operate as an interactive supporting both input and
graphical output.
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2)Skinput:
What Is Skinput
Skinput is a device that uses a pico projector to beam graphics onto a user’s
palm and forearm, transforming the skin into a computer interface. Skinput is a combination of
two words i.e Skin and Input. This technology uses largest part of our body which is skin as an
input surface for mobile gadgets. Chris Harrison and team of Microsoft research has developed
Skinput, a way in which your skin can become a touch screen device or your fingers buttons on
a MP3 controller.
Figure 2.1: Display on palm using Skinput Technology
Skinput represents one way to decouple input from electronic devices with the
aim of allowing devices to become smaller without simultaneously shrinking the surface area
on which input can be performed.
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3)Working of Skinput:
Figure 3.1:Working of skinput
Skinput is a combination of three technologies which are pico-projector,
bioacoustics sensors and Bluetooth. Pico-projector will display mobile screen on our skin. As
according to our need we tap on our body. After tapping some vibrations are produced through
our body, those ripples are captured by bioacoustics sensors which are mounted armband.
These armband is connected to the mobile device by wireless connection i.e. Bluetooth.
3.1 Pico-Projector
Pico projectors are tiny battery powered projectors - as small as a mobile phone - or
even smaller: these projectors can even be embedded inside phones or digital cameras. Pico-
projectors are small, but they can show large displays. While great for mobility and content
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sharing, pico-projectors offer low brightness and resolution compared to larger projectors. It is
a new innovation, but pico-projectors are already selling at a rate of about a million units a year
(in 2010), and the market is expected to continue growing quickly.
Figure 3.2: Pico-projector
We are using DLP (Digital Light Processing) , the idea behind DLP is to use
tiny mirrors on a chip that direct the light. Each mirror controls the amount of light each pixel
on the target picture gets (the mirror has two states, on and off. It refreshes many times in a
second - and if 50% of the times it is on, then the pixel appears at 50% the brightness). Color is
achieved by a using a color wheel between the light source and the mirrors - this splits the light
in red/green/blue, and each mirror controls all thee light beams for its designated pixel. So with
the help of tiny projector we will display required menu bar on our arm.
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3.2 Bio-Acoustics
Acoustics is the interdisciplinary science that deals with the study of all
mechanical waves in gases, liquids, and solids including vibration, sound, ultrasound and
infrasound. A scientist who works in the field of acoustics is an acoustician while someone
working in the field of acoustics technology may be called an acoustical engineer. The
application of acoustics can be seen in almost all aspects of modern society with the most
obvious being the audio and noise control industries. Bioacoustics is a cross-disciplinary
science that combines biology and acoustics. Usually it refers to the investigation of sound
production, dispersion through elastic media, and reception in animals, including humans.
When a finger taps the skin, several distinct forms of acoustic energy are
produced. Some energy is radiated into the air as sound waves; this energy is not captured by
the Skinput system. Among the acoustic energy transmitted through the arm, the most readily
visible are transverse waves, created by the displacement of the skin from a finger impact.
When shot with a high-speed camera, these appear as ripples, which propagate outward from
the point of contact. The amplitude of these ripples is correlated to both the tapping force and to
the volume and compliance of soft tissues under the impact area. In general, tapping on soft
regions of the arm creates higher amplitude transverse waves than tapping on boney areas (e.g.,
wrist, palm, fingers), which have negligible compliance.
In addition to the energy that propagates on the surface of the arm, some
energy is transmitted inward, toward the skeleton. These longitudinal (compressive) waves
travel through the soft tissues of the arm, exciting the bone, which is much less deformable then
the soft tissue but can respond to mechanical excitation by rotating and translating as a rigid
body. This excitation vibrates soft tissues surrounding the entire length of the bone, resulting in
new longitudinal waves that propagate outward to the skin.
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3.2.1 Transverse Wave Propagation :
Figure 3.3: Finger impacts displace the skin, creating transverse waves (ripples). The sensor is
activated as the wave passes underneath it.
3.2.2 Longitudinal Wave Propagation :
Figure 3.4: Finger impacts create longitudinal (compressive) waves that cause internal skeletal
structures to vibrate. This, in turn, creates longitudinal waves that emanate outwards from the
bone (along its entire length) toward the skin.
We highlight these two separate forms of conduction, transverse waves moving
directly along the arm surface, and longitudinal waves moving into and out of the bone through
soft tissues – because these mechanisms carry energy at different frequencies and over different
distances. Roughly speaking, higher frequencies propagate more readily through bone than
through soft tissue, and bone conduction carries energy over larger distances than soft tissue
conduction. While we do not explicitly model the specific mechanisms of conduction, or
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depend on these mechanisms for our analysis, we do believe the success of our technique
depends on the complex acoustic patterns that result from mixtures of these modalities.
Similarly, we also believe that joints play an important role in making tapped locations
acoustically distinct. Bones are held together by ligaments, and joints often include additional
biological structures such as fluid cavities. This makes joints behave as acoustic filters. In some
cases, these may simply dampen acoustics; in other cases, these will selectively attenuate
specific frequencies, creating location specific acoustic signatures.
Figure 3.5: Arm band which consists of vibration sensor array
3.2.3 Bioacoustic Sensor:
The Minisense 100 is a low-cost cantilever-type vibration sensor loaded
by a mass to offer high sensitivity at low frequencies. The pins are designed for easy
installation and are solderable. Horizontal and vertical mounting options are offered as well as
a reduced height version. The active sensor area is shielded for improved RFI/EMI rejection.
Rugged, flexible PVDF sensing element withstands high shock overload. Sensor has excellent
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linearity and dynamic range, and may be used for detecting either continuous vibration or
impacts.
Some features of Minisense 100 are given below:
High Voltage Sensitivity (1 V/g)
Horizontal or Vertical Mounting
Shielded Construction
Solderable Pins, PCB Mounting
Low Cost
< 1% Linearity
Up to 40 Hz (2,400 rpm) Operation Below Resonance
3.3 Bluetooth :
Bluetooth is a wireless technology standard for exchanging data over short
distances from fixed and mobile devices, creating personal area networks (PANs) with high
levels of security. It can connect several devices, overcoming problems of synchronization.
Bluetooth takes small-area networking to the next level by removing the need for user
intervention and keeping transmission power extremely low to save battery power.
Bluetooth is essentially a networking standard that works at two levels:
It provides agreement at the physical level -- Bluetooth is a radio-frequency standard.
It provides agreement at the protocol level, where products have to agree on when bits
are sent, how many will be sent at a time, and how the parties in a conversation can be
sure that the message received is the same as the message sent.
The low power limits the range of a Bluetooth device to about 10 meters, cutting
the chances of interference between your computer system and your portable telephone or
television. Even with the low power, Bluetooth doesn't require line of sight between
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communicating devices. The walls in your house won't stop a Bluetooth signal, making the
standard useful for controlling several devices in different rooms.
Bluetooth can connect up to eight devices simultaneously. With all of those
devices in the same 10-meter radius, you might think they'd interfere with one another, but it's
unlikely. Bluetooth uses a technique called spread-spectrum frequency hopping that makes it
rare for more than one device to be transmitting on the same frequency at the same time..
So we are connecting armband and mobile device using Bluetooth
technology. So whatever data is received by the sensors are transferred to the mobile device.
That mobile device samples the data and compared it with the stored data and according to the
algorithm task is performed.
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4)Advantages:
Easy to work: Skinput technology is very easy to understand and it’s very easy to use.
No interaction with the gadget : If we have to use any application of our mobile then we
reach to our pocket take out the device, unlock it and then go to the application. By
using Skinput we do not need any interaction with the gadget. We have to just tap our
finger and the desired function will performed by the system.
No worry about keypad : People with large fingers gets trouble while operating touch
screens. Using Skinput we get very large interaction surface area. So for such people
this problem will resolve.
Easy to access when your phone is not available.
Allows users to interact more personally with their device.
Through the use of a sense called proprioception after user learns where the locations
are on the skin they will no longer have to look down to use Skinput reducing people
looking down at their phone while driving.
It can be used for a more interactive gaming experience.
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5)Disadvantages:
Skinput has its downfalls, especially due to fact of the BIG band that looks very easy to
put on. Many people would not wear a very big band around their arm for the day just
to have this product.
This technology only works on direct skin exposure. We cannot use full sleeves shirt
when we are using this technology.
The visibility of the projection of the buttons on the skin can be reduced if the user has
a tattoo located on their arm
Not enough research has been conducted on this product to test the possible skin
diseases or type of cancer one can get from using this product.
This technology might start up at very high cost which will not be affordable for the
common man.
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6)Applications:
1. Mobile:We can use Skinput technology in any mobile device. We just need different
software for different mobiles like for mobiles which supports android operating system
requires android application operating system requires .jar or .sis software.
2. I-pods:We can use this technology in i-pods or other music devices which supports
Bluetooth technology. For such music devices we just need 4 or 5 different buttons. So
we can use our fingertips as input. Like this we can operate these devices without any
visual contact.
3. Game: In gaming devices we can use this technology. So without any joysticks or touch
screens we can play games very easily.
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7)Future Implementation:
In order to assess the real-world practicality of Skinput, we are currently
building a successor to our prototype that will incorporate several additional sensors,
particularly electrical sensors and inertial sensors (accelerometers and gyroscopes). In addition
to expanding the gesture vocabulary beyond taps, we expect this sensor fusion to allow
considerably more accuracy—and more robustness to false positives—than each sensor alone.
This revision of our prototype will also allow us to benefit from anecdotal lessons learned since
building our first prototype: in particular, early experiments with subsequent prototypes suggest
that the hardware filtering we describe above can be effectively replicated in software, allowing
us to replace our relatively large piezoelectric sensors with micro-machined accelerometers.
Figure 7.1:Future Implementation
This considerably reduces the size and electrical complexity of our
armband. Furthermore, anecdotal evidence has also suggested that vibration frequency ranges
as high as several kilohertz may contribute to tap classification, further motivating the use of
broadband accelerometers. Finally, our multi-sensor armband will be wireless, allowing us to
explore a wide variety of usage scenarios, as well as our general assertion that always-available
input will inspire radically new computing paradigms.
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8)Conclusion:
Skinput allows the human body as an input surface.
It describes a novel, wearable bio-acoustic sensing array that we built into an armband
in order to detect and localize finger taps on the forearm and hand.
This system performs well even when the body is in motion.
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9)References:
1) Chris Harrison, Desney Tan, and Dan Morris “Skinput: Appropriating the Skin as an
Interactive Canvas” Microsoft Research 2011.
2) Chris Harrison, Scott E. Hudson “Scratch Input: Creating, Large Inexpensive, Unpowered
and Mobile Finger Input Surfaces”UIST 2008.
3) Amento, B.Hill, W.Terveen “The Sound of one Hand: A wrist- mounted bio-acoustic
fingertip gesture interface” CHI’02.
4) Thomas Hahn “Future Human Computer Interaction with special focus on input and output
techniques” HCI.
5) Burges, C.J. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining
and Knowledge Discovery, 2.2, 121-167.
6) Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and
Obesity in Adults. National Heart, Lung and Blood Institute.
7) Deyle, T., Palinko, S., Poole, E.S., and Starner, T. Hambone: A Bio-Acoustic Gesture
Interface. In Proc. ISWC '07. 1-8.