HIGHLIGHTS
- who: Ayush Chandak et al. from the BITS Pilani, Pilani Campus, Pilani, India have published the research work: Machine-Learning-Based Human Fall Detection Using Contact- and Noncontact-Based Sensors, in the Journal: Computational Intelligence and Neuroscience of 24/02/2022
- what: In this paper, many proposed approaches are designed based on neural_networks architectures. This work has contributed towards detecting falls based on cameras and_(2) detecting falls based on smartphone sensors. The change in acceleration due to change in the activity changes acceleration is utilized for fall detection. In this paper, the following machine_learning . . .
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