Summary

International Technical Conference on Circuits/Systems, Computers and Communications

2016

Session Number:M2-H

Session:

Number:M2-H-1

Recognition of Wrist Position While Walking by Using Wearable Triaxial Accelerometers

Kaoru Furumi,  Shintaro Mizoguchi,  Nanako Niioka,  Masashi Imai,  Atsushi Kurokawa ,  

pp.97-100

Publication Date:2016/7/10

Online ISSN:2188-5079

DOI:10.34385/proc.61.M2-H-1

PDF download (1.2MB)

Summary:
Human activity recognition using wearable devices is becoming increasingly important. Techniques that estimate and recognize walking states while walkers carry an object in hand can be useful for safety and security. In this paper, we examine the recognition of walking states while walkers carry an object like a shoulder bag from data obtained by attaching a triaxial accelerometer to the wrists of walkers. The experimental results demonstrate that some states can be roughly identified from the accelerations and power spectrums.