a real time brain computer interface system based on mobile cloud computing using wearable devices
DESCRIPTION
This presentation is about a real time BCI system that provides the ability to monitor the mental state of a person using a wearble sensor device. The system gets the brain signals from the wearable device and sends the data through the mobile computing platform to the cloud, where the immense amount of input data can be processed. These slides provide the combination of latest technological trends and a proper setup of different technologies.TRANSCRIPT
A Real time BCI system based on mobile cloud computing
using wearable devices
By-Vasant Diwane
T.E.(A)Roll no: 3325
BCI-Brain-Computer interface MCC-Mobile Cloud Computing WC-Wearable Computing Combining all the three concepts EEG- Electroencephalography Hardware and Software used in the process Why mobile cloud computing? Structure and working of the prototype Challenges and solutions
Contents
BCI-Brain Computer Interface
Brain-Computer Interface
Types of BCIs
Invasive BCI Non-invasive BCI
Virus attacks may occur to brain causing ill effects
Requires extensive training
BCI techniques are costly
Slow speed
Challenges in BCI
An infrastructure where data storage and data processing happens outside of mobile devices in a cloud
Mobile devices have limited resources
Data storage and computation power is transferred from mobile to cloud
Mobile Cloud Computing
Mobile Cloud Computing Architecture
Cloud service cost
Mobile network cost
Availability
Security
Challenges in MCC
Computer that could be worn on the body
Especially useful for applications that require computational support while user is actively engaged with the physical environment
Wearable Computing
Smart Glass
Smart Watch
Smart Head-mount used by soldier
Forms of Wearable Computer
Equipment may be heavy
Expensive
Can cause irritation in heat
Security
Challenges in Wearable Computing
Combination of Brain-Computer interface, Wearable computers and
Mobile cloud computing results in the perfect system that help
us to recognize an individual’s mental state.
Combining all the concepts
The electroencephalograph (EEG) signals are electrical signals generated by neuronal activity in the brain
EEG signal ranges from 1 µV to 100 µV in a normal adult
Electroencephalography(EEG)
Classification of frequency bands
MindWave headset (NeuroSky, Inc., San Jose, CA) Data is sampled from the sensor at a rate of 128
Hz
Hardware used in the process
Google Galaxy Nexus smartphone with Android 4.2 OS, and
A Linux server equipped with a quad-core Intel i7 microprocessor.
Contd…
Structure of the prototype
Output samples
Determining the current mental states of the soldiers fighting a war
Determining the mental states of the pilot
Sometimes useful in Lie detecting test
Constant health monitoring for patients
Applications
Thank You