Wearable automatic feedback devices for physical activities
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
ARCS'11 Proceedings of the 24th international conference on Architecture of computing systems
Robust, low cost indoor positioning using magnetic resonant coupling
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Ultrasound-based movement sensing, gesture-, and context-recognition
Proceedings of the 2013 International Symposium on Wearable Computers
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
Pattern Recognition Letters
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We demonstrate how modulated magnetic field technology that is well established in high precision, stationary motion tracking systems can be adapted to wearable activity recognition. To this end we describe the design and implementation of a cheap (components cost about 20 Euro for the transmitter and 15 Euro for the receiver), low power (17mA for the transmitter and 40mA for the receiver), and easily wearable (the main size constraint are the coils which are about 25mm3) system for tracking the relative position and orientation of body parts. We evaluate our system on two recognition tasks. On a set of 6 subtle nutrition related gestures it achieves 99.25% recognition rate compared to 94.1% for a XSense inertial device ( operated calibrated, euler angle mode). On the recognition of 8 Tai Chi moves it reaches 94 % compared to 86% of an accelerometer. Combining our sensor with the accelerometer leads to 100% correct recognition (as compared to 90% when combining the accelerometer with a gyro).