Performance analysis of triaxial accelerometer for activity recognition

2017 ◽  
Author(s):  
M. Poorani ◽  
V. Vaidehi ◽  
P. Varalakshmi
Keyword(s):  
Performance Analysis ◽  
Activity Recognition ◽  
Triaxial Accelerometer

Real-Time Physical Activity Recognition Using a Single Triaxial Accelerometer Based on HMM

2014 ◽  
Vol 602-605 ◽  
pp. 2221-2224 ◽  
Author(s):  
Jun Cai ◽  
Ke Quan Yang ◽  
Yi Zhang
Keyword(s):  
Physical Activity ◽  
Activity Recognition ◽  
Recognition Rate ◽  
Experimental Result ◽  
Motion Pattern ◽  
Triaxial Accelerometer ◽  
Recognition Method ◽  
Wireless Device ◽  
Physical Activity Recognition ◽  
Activity Series

This study focuses on physical activity recognition of elder people using a single triaxial accelerometer attached on waist. With accelerations data acquired continuously by a wearable wireless device, a motion pattern recognition method based on acceleration time series analysis of human activity states is proposed. We use Hidden Markov Model (HMM) to identify physical activity series. Experimental result shows that the activity recognition rate is 95.7% using this method, which can play an important role in the adjuvant therapy.

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