Research output per year
Research output per year
Yanwen WANG, Jiaxing SHEN, Yuanqing ZHENG*
Research output: Journal Publications › Journal Article (refereed) › peer-review
With the flourish of the smart devices and their applications, controlling devices using gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent works use acoustic signals to track hand movement and recognize gestures. However, they suffer from low robustness due to frequency selective fading, interference and insufficient training data. In this work, we propose RobuCIR, a robust contact-free gesture recognition system that can work under different practical impact factors with high accuracy and robustness. RobuCIR adopts frequency-hopping mechanism to mitigate frequency selective fading and avoid signal interference. To further increase system robustness, we investigate a series of data augmentation techniques based on a small volume of collected data to emulate different practical impact factors. The augmented data is used to effectively train neural network models and cope with various influential factors (e.g., gesture speed, distance to transceiver, etc.). Our experiment results show that RobuCIR can recognize 15 gestures and outperform state-of-the-art works in terms of accuracy and robustness.
Original language | English |
---|---|
Pages (from-to) | 1798-1811 |
Number of pages | 14 |
Journal | IEEE Transactions on Mobile Computing |
Volume | 21 |
Issue number | 5 |
Early online date | 19 Oct 2020 |
DOIs | |
Publication status | Published - May 2022 |
Externally published | Yes |
The authors would like to thank the editor and reviewers for their help and insightful comments. This work was supported in part by the National Nature Science Foundation of China under grant 61702437 and Hong Kong GRF under Grant PolyU 152165/19E, and the Fundamental Research Funds for the Central Universities 531118010612.
Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review