Design and development of a real-time embedded inertial measurement unit
Proceedings of the 2010 ACM Symposium on Applied Computing
A music search engine for therapeutic gait training
Proceedings of the international conference on Multimedia
Wearable assistant for Parkinson's disease patients with the freezing of gait symptom
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
IEEE Transactions on Information Technology in Biomedicine
Reducing the power consumption of an IMU-Based gait measurement system
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Reducing the power consumption of an IMU-Based gait measurement system
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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This paper presents a real-time and on-chip gait measurement algorithm used in our Gait Measurement System (GMS). Our GMS is a small foot-mounted device based on an Inertial Measurement Unit (IMU), which contains an accelerometer and a gyroscope. The GMS can compute spatio-temporal gait parameters in real-time and transmit them to a remote receiver. Measured gait parameters include cadence, velocity, stride length, swing/stance ratio and so on. The algorithm is optimized to run in a ATmega328 microprocessor with only 2kB data memory. During a walking session, each stride is recognized instantaneously, and the stride length and other parameters are computed at the same time. Although inexpensive components are utilized, the algorithm achieves high accuracy, with an average stride length error smaller than 3%, and error in total walking distance less than 2%.