About this document
Energy-Efficient Fall Detection Algorithm by saif ullah is a document available to read on EtoBox.
This study presents a novel energy-efficient algorithm called Temporal Signal Angle Measurement (TSAM) for classifying five common types of falls using a wearable sensor. The algorithm demonstrated comparable performance to traditional machine learning methods, with accuracy ranging from 93.3% to 91.8% at lower sampling frequencies. The system aims to enhance the speed of medical response in fall-related emergencies by providing accurate fall type classification.
- Author
- saif ullah
- Language
- EN