Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions

Sensor-based activity recognition aims to recognize users' activities from multi-dimensional streams of sensor readings received from ubiquitous sensors. It has been shown that data segmentation and feature extraction are two crucial steps in developing machine learning-based models for sensor-...

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書目詳細資料
Main Authors:	Qian, Hangwei, Pan, Sinno Jialin, Miao, Chunyan
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Human Activity Recognition Sensor Readings Segmentation
在線閱讀:	https://hdl.handle.net/10356/159353
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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