Mining human activity and smartphone position from motion sensors
Publication
, Conference
Gao, Z; Liu, D; Huang, K; Huang, Y
Published in: International Conference on Intelligent User Interfaces, Proceedings IUI
March 16, 2019
The wide use of motion sensors in today's smartphones has enabled a range of innovative applications which these sensors are not originally designed for. Human activity recognition and smartphone position detection are two of them. In this paper, we present a system for the joint recognition of human activity and smartphone position. Our study shows that the coordinate transformation approach applied to motion data makes our system robust to smartphone orientation variation. Contrary to popular belief, the simple neural network does provide the accuracy comparable to the deep learning models in our problem. In addition, it suggests that the motion sensor sampling rate is another key factor to the recognition problem.
Duke Scholars
Published In
International Conference on Intelligent User Interfaces, Proceedings IUI
DOI
ISBN
9781450366731
Publication Date
March 16, 2019
Start / End Page
17 / 18
Citation
APA
Chicago
ICMJE
MLA
NLM
Gao, Z., Liu, D., Huang, K., & Huang, Y. (2019). Mining human activity and smartphone position from motion sensors. In International Conference on Intelligent User Interfaces, Proceedings IUI (pp. 17–18). https://doi.org/10.1145/3308557.3308681
Gao, Z., D. Liu, K. Huang, and Y. Huang. “Mining human activity and smartphone position from motion sensors.” In International Conference on Intelligent User Interfaces, Proceedings IUI, 17–18, 2019. https://doi.org/10.1145/3308557.3308681.
Gao Z, Liu D, Huang K, Huang Y. Mining human activity and smartphone position from motion sensors. In: International Conference on Intelligent User Interfaces, Proceedings IUI. 2019. p. 17–8.
Gao, Z., et al. “Mining human activity and smartphone position from motion sensors.” International Conference on Intelligent User Interfaces, Proceedings IUI, 2019, pp. 17–18. Scopus, doi:10.1145/3308557.3308681.
Gao Z, Liu D, Huang K, Huang Y. Mining human activity and smartphone position from motion sensors. International Conference on Intelligent User Interfaces, Proceedings IUI. 2019. p. 17–18.
Published In
International Conference on Intelligent User Interfaces, Proceedings IUI
DOI
ISBN
9781450366731
Publication Date
March 16, 2019
Start / End Page
17 / 18