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

• 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
• 機構: Nanyang Technological University

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-...