Embedded sensor insole for wireless measurement of gait parameters

Area of Science:

• Biomechanics
• Wearable Technology
• Sensor Systems

Background:

• Accurate estimation of biomechanical gait parameters is crucial for clinical assessments and athletic performance analysis.
• Existing systems for gait analysis can be cumbersome, limiting real-world applicability.
• Portable and wireless solutions are needed for unobtrusive, long-term monitoring.

Purpose of the Study:

• To develop and validate a portable, wireless activity monitoring system for estimating biomechanical gait parameters.
• To integrate pressure sensors and accelerometers into insoles for comprehensive foot force and movement analysis.
• To enable both real-time (online) and post-hoc (offline) data analysis.

Main Methods:

• Development of instrumented insoles incorporating four piezoresistive pressure sensors and a three-axis accelerometer.
• Implementation of a wireless system for real-time data transmission (RF) and offline data storage (SD card).
• Validation through walking trials with ten participants, analyzing data from combined sensor inputs.

Main Results:

• The system successfully captured foot forces during stance and swing phases.
• Valuable insights into foot movement during the non-contact period, including supination/pronation, were obtained.
• Preliminary findings indicate a correlation between lateral foot acceleration and the degree of supination.

Conclusions:

• The developed portable, wireless system effectively estimates biomechanical gait parameters.
• Combined sensor data provides rich information on foot dynamics, particularly during the flight phase.
• The system shows promise for detecting subtle foot movements like supination, aiding in gait analysis.