Adaptive Compressed Classification for Energy Efficient Activity Recognition in Wireless Body Sensor Networks

2018 ◽  
Author(s):  
Ling Xiao ◽  
Yu Meng ◽  
Kai Wu
Keyword(s):  
Sensor Networks ◽  
Activity Recognition ◽  
Energy Efficient ◽  
Body Sensor Networks ◽  
Wireless Body Sensor Networks

scholarly journals Energy-efficient recognition of human activity in body sensor networks via compressed classification

2016 ◽  
Vol 12 (12) ◽  
pp. 155014771667966 ◽  
Author(s):  
Ling Xiao ◽  
Renfa Li ◽  
Juan Luo ◽  
Zhu Xiao
Keyword(s):  
Sensor Networks ◽  
Sparse Representation ◽  
Activity Recognition ◽  
Energy Efficient ◽  
Random Projection ◽  
Body Sensor Networks ◽  
Important Challenge ◽  
Wireless Body Sensor Networks ◽  
Efficient Recognition

Energy efficiency is an important challenge to broad deployment of wireless body sensor networks for long-term physical movement monitoring. Inspired by theories of sparse representation and compressed sensing, the power-aware compressive classification approach SRC-DRP (sparse representation–based classification with distributed random projection) for activity recognition is proposed, which integrates data compressing and classification. Random projection as a data compression tool is individually implemented on each sensor node to reduce the amount of data for transmission. Compressive classification can be applied directly on the compressed samples received from all nodes. This method was validated on the Wearable Action Recognition Dataset and implemented on embedded nodes for offline and online experiments. It is shown that our method reduces energy consumption by approximately 20% while maintaining an activity recognition accuracy of 88% at a compression ratio of 0.5.

Human Activity Recognition Through Wireless Body Sensor Networks (WBSN) Applying Data Mining Techniques

2021 ◽  
pp. 327-339
Author(s):  
Jimmy Alfonso Rocha ◽  
Gabriel Piñeres-Espitia ◽  
Shariq Aziz Butt ◽  
Emiro De-la-Hoz-Franco ◽  
Muhammad Imran Tariq ◽  
...  
Keyword(s):  
Data Mining ◽  
Sensor Networks ◽  
Activity Recognition ◽  
Human Activity ◽  
Human Activity Recognition ◽  
Body Sensor Networks ◽  
Data Mining Techniques ◽  
Wireless Body Sensor Networks

PrEEMAC: Priority based energy efficient MAC protocol for Wireless Body Sensor Networks

2021 ◽  
Vol 30 ◽  
pp. 100510
Author(s):  
Ananda Kumar Subramanian ◽  
Uttam Ghosh ◽  
Sangeetha Ramaswamy ◽  
Waleed S. Alnumay ◽  
Pradip Kumar Sharma
Keyword(s):  
Sensor Networks ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Body Sensor Networks ◽  
Wireless Body Sensor Networks
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