Accurate step counting is essential for indoor positioning, health monitoring systems, and other indoor positioning services. Nevertheless, over-counting, under-counting, and false walking problems are still encountered in these methods. In this research, we propose to develop a highly accurate step counting method to solve these limitations by proposing four features: Minimal peak distance, minimal peak prominence, dynamic thresholding, and vibration elimination, and these features are adaptive with the user’s states. In this talk, I would like to introduce our proposed features which are combined with periodicity and similarity features to solve false walking problem.
Speaker: ThS. Phạm Văn Thành, Univ. Fire Prevention and Fighting
Time: 15:30, Tuesday, January 26, 2021
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Pham Van Thanh was born in 1990. He received hisFaculty of Fire Engineering and B.Sc, and M.Sc. degrees respectively in 2012, and Technology, UFPF 2015 at the University of Engineering and Technology (UET), Vietnam National University – Hanoi, Vietnam (VNUH). He is currently a PhD student in Electronics and Telecommunication at UET and lecturer at Faculty of Fire Engineering and Technology, University of Fire Prevention and Fighting (UFPF). His research areas of interest include: Signal and image processing, personal safety equipment, Firefighter supporting devices, fire protection systems.