標題: Full Model for Sensors Placement and Activities Recognition
作者: Ching, Yu-Tai
He, Guan-Wei
Cheng, Chang-Chieh
Yang, Yu-Jin
資訊工程學系
Department of Computer Science
關鍵字: Human Activity Recognition;Wearable sensors;physical activities
公開日期: 1-Jan-2017
摘要: We implemented a wired sensors system that supports activities identification. The system consists of Raspberry Pi, MPU6050 (accelerometers and gyrometers), and TCA9548 (1 to 8 multiplexer). Our experimental results show that when 6 MPU6050 attached to the right arm, right wrist. chest, waist, right thigh, and right ankle, the activities of standing, sitting, lying, walking, running, going upstairs, going downstairs. drinking water, and dumbbells activities could be identified with high accuracy. The system can connect up to 128 sensors, but under a practical sampling rate, the number of sensors should not be greater than 15. The system shall be used for finding the optimal locations for a multi -sensor wearable system (for examples, clothes or shoes).
URI: http://dx.doi.org/10.1145/3123024.3123096
http://hdl.handle.net/11536/147051
DOI: 10.1145/3123024.3123096
期刊: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT)
起始頁: 17
結束頁: 20
Appears in Collections:Conferences Paper