PROJECT: SURFING MITTENS
Group #44
Members:
Dhananja Jayalath
Ryan Mann
Neil Olij
Chris Wiebe
Consultant:
Dr. Hiren Patel
OUTLINE
• Introduction
• Problem
• Solution
• Risks And Mitigation
• Block Diagram Implementation plan and details
• Questions
PROBLEM
• Inexperienced gym members often perform
exercises incorrectly
• Unproductive
• Leads to injury
• Experienced gym members have trouble
maintaining a balanced workout schedule
• Paper and pencil is impractical
• Easy to lose track
• Personal training is expensive
SOLUTION
• EMG sensors integrated into workout clothing
• Detects muscle activation
• Displays real-time activation data to user
• Logs exercise repetitions over time
• Advantages:
• Unobtrusive
• Affordable
• Intuitive
RISKS AND MITIGATION
• Noise and interference – must reject common mode
• Contact motion
• ECG interference
• AC coupling
• Involuntary or unforced muscle activation – use calibration
• Physical integration of sensors into suit – use flexible PCB
Sensors
Microcontroller
Differential Electrode
20-500 Hz
Band-pass
filter
Rectification
Integration
ADC
Instrumentation Amplifier
Processing
.
.
.
Differential Electrode
20-500 Hz
Band-pass
filter
Rectification
Integration
GPIO
Instrumentation Amplifier
BlueTooth® Module
Da
ta
Dis
yU
pla
nit
Data TX and User Interface
SIGNAL ACQUISITION
• Differential dry-electrodes
• Instrumentation (differential) amplifier
• Band-pass filter (20 – 500 Hz) with 40 dB/dec roll-off
• Rectifier
• Integrator – low pass envelope
Amplified/Filtered
Rectified/Envelope
Gerdle, B., Karlsson S., Day, S., Djupsjobacka, M. Analysis of the Surface Electromyogram. Modern Techniques in
Neuroscience. Chapter 26, 732
PROOF OF CONCEPT
DATA AGGREGATION & PROCESSING
• Analog multiplexing
• Analog to Digital Conversion (ADC)
• STM32 ARM Cortex A3
Microcontroller
• Bluetooth module
USER INTERFACE
•
Custom Android application
• User-defined rep objectives
• Real-time data visualization
• Updated rep counting
• Reviewable rep history
QUESTIONS?