Iot-based system for real-time fall risk assessment and health monitoring

HIGHLIGHTS

  • What: The aim of this paper is to provide an overview of research efforts that utilize machine_learning techniques to identify and prevent falls. The aim of fall risk assessment and health monitoring efforts is to transform healthcare by implementing standardized procedures and cutting-edge technology. For training the model, two machine_learning algorithms model were used: Support Vector Machine and Random Forest .
  • Who: Monitoring and colleagues from the Department of Electronics and Communication Engineering, Vidya Academy of Science and Technology, Thrissur, India have published the research work: IoT-Based System for Real-Time Fall Risk Assessment . . .

     

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