@inproceedings{bb72ad89342d401bab7e9a662e160a86,
title = "Machine-learning based fitness behavior recognition from camera and sensor modalities",
abstract = "We implemented a prototype system to recognize fitness behaviors using the skeleton information from the camera modality and the accelerometer/gyro sensor values. In addition, by fusing the camera modality and the sensor modality, the recognition accuracy of the complex fitness behaviors can be improved.",
keywords = "Behavior-recognition, Camera, Fusion, Multi-modal, Sensor",
author = "Fang, {Chih Chieh} and Mou, {Ting Chen} and Sun, {Shih Wei} and Chang, {Pao Chi}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 ; Conference date: 10-12-2018 Through 12-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/AIVR.2018.00058",
language = "???core.languages.en_GB???",
series = "Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "249--250",
booktitle = "Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018",
}