Accelerometer-Based Speed Adaptive Gait Recognition Using PCA&LDA
文献类型：会议论文
| 作者 | Chenfei Mao; Fangmin Sun; Ye Li; Li Zhang, |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 夏威夷 |
| 英文摘要 | Abstract—This paper presents a speed adaptive gait recognition method for user verification using the readily available accelerometers embedded in the wearable devices. We developed a speed-adaptive gait-cycle extraction method and the double dimensionality reduction method to improve the recognition and verification performance. Experiments on the public dataset have corroborated the superiority of the proposed methods over the available ones, the test results show that the average recognition rate was up to 97.5% when using acceleration data from five body locations for recognition. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14153]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Chenfei Mao,Fangmin Sun,Ye Li,et al. Accelerometer-Based Speed Adaptive Gait Recognition Using PCA&LDA[C]. 见:. 夏威夷. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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