Cross-People Mobile-Phone Based Activity Recognition

Zhao, Zhongtang; Chen, Yiqiang; Liu, Junfa; Shen, Zhiqi; Liu, Mingjie

doi:10.5591/978-1-57735-516-8/IJCAI11-423

Cross-People Mobile-Phone Based Activity Recognition

Zhongtang Zhao, Yiqiang Chen, Junfa Liu, Zhiqi Shen, Mingjie Liu

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2545-2549.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-423

Abstract

Activity recognition using mobile phones has great potential in many applications including mobile healthcare. In order to let a person easily know whether he is in strict compliance with the doctor's exercise prescription and adjust his exercise amount accordingly, we can use a smart-phone based activity reporting system to accurately recognize a range of daily activities and report the duration of each activity. A triaxial accelerometer embedded in the smart phone is used for the classification of several activities, such as staying still, walking, running, and going upstairs and downstairs. The model learnt from a specific person often cannot yield accurate results when used on a different person. To solve the cross-people activity recognition problem, we propose an algorithm known as TransEMDT (Transfer learning EMbedded Decision Tree) that integrates a decision tree and the k-means clustering algorithm for personalized activity-recognition model adaptation. Tested on a real-world data set, the results show that our algorithm outperforms several traditional baseline algorithms.

Zhongtang Zhao, Yiqiang Chen, Junfa Liu, Zhiqi Shen, and Mingjie Liu. 2011. Cross-People Mobile-Phone Based Activity Recognition. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2545–2549. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-423

@inproceedings{ijcai2011p423,
  title     = {Cross-People Mobile-Phone Based Activity Recognition},
  author    = {Zhao, Zhongtang and Chen, Yiqiang and Liu, Junfa and Shen, Zhiqi and Liu, Mingjie},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2545--2549},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-423},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-423},
}

TY  - CPAPER
TI  - Cross-People Mobile-Phone Based Activity Recognition
AU  - Zhao, Zhongtang
AU  - Chen, Yiqiang
AU  - Liu, Junfa
AU  - Shen, Zhiqi
AU  - Liu, Mingjie
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2545
EP  - 2549
DO  - 10.5591/978-1-57735-516-8/IJCAI11-423
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-423
ER  -