Aiming at this phenomenon, this paper combines the multi-threshold fall detection algorithm with the support vector machine classification algorithm, and ...
Abstract—With the heavily growth of Chinese aging, more and more elderly people are prone to fall accidents due to physical factors such as decreased ...
Download Citation | On Nov 1, 2018, Gao Tongyue and others published Research and Implementation of Two-Layer Fall Detection Algorithm | Find, read and cite ...
Tongyue Gao, Jia Yang, Kaida Huang, Qingxuan Hu, Fengshou Zhao: Research and Implementation of Two-Layer Fall Detection Algorithm. ICSAI 2018: 70-74.
Research and Implementation of Two-Layer Fall Detection Algorithm. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/icsai/GaoYHHZ18. Home ...
Dec 5, 2020 · This paper proposes a two-stage fall recognition algorithm based on human posture features. For preprocessing, we construct the new key features: deflection ...
The algorithm presented in this paper uses tri-axial accelerometer outputs to discriminate between falls and daily activities. It is mainly based on a two- ...
May 30, 2023 · This literature review explores the current state of research on FDS and its applications. The review shows various types and strategies of fall detection ...
This paper presents a fusion fall detection algorithm combining threshold-based method (TBM) and convolutional neural network (CNN).
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Aug 5, 2024 � This study aims to develop and validate a DL framework to accurately detect falls using acceleration and gyroscope data from wearable sensors.
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