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Human Activity Detection Based on Multiple Smart...
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Human Activity Detection Based on Multiple Smart Phone Sensors and Machine Learning Algorithms

Abstract

This paper presents our recent work on human activity detection based on smart phone embedded sensors and learning algorithms. The proposed human activity detection system recognizes human activities including walking, running, and sitting. While walking and running can be recorded as daily fitness activities, falling will also be detected as anomalous situations and alerting messages can be sent as needed. Embedded sensors including a …

Authors

Yin X; Shen W; Samarabandu J; Wang X

Pagination

pp. 582-587

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2015

DOI

10.1109/cscwd.2015.7231023

Name of conference

2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD)