Indian Journal of Public Health Research & Development
  • Year: 2018
  • Volume: 9
  • Issue: 11

Wireless based human health monitoring and fall detection using GSM

1Assistant Professor, Department of Biomedical Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College, Vinayaka Mission's Research Foundation (Deemed To Be University), Salem-636308, Tamilnadu, India

2Associate Professor, Department of Biomedical Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College, Vinayaka Mission's Research Foundation (Deemed To Be University), Salem-636308, Tamilnadu, India

3Assistant Professor, Department of Electronics and Communication, Vinayaka Mission's Kirupananda Variyar Engineering College, Vinayaka Mission's Research Foundation (Deemed To Be University), Salem-636308, Tamilnadu, India

Online published on 7 December, 2018.

Abstract

Some WSN (wireless sensor network) by a lot of immobile node and with the limited energy and without further charge of energy. Whereas extension of many sensor nodes and their operation. Hence it is normal. Inactive nodes miss their communication in network, hence split the network. For avoidance split of network, we proposed a fault recovery corrupted node and Self-Healing is necessary. This paper presents a wireless distributed sensor system for tracking and identifying multiple humans based on their body heat radiation. Many intelligent environments and secure systems demand collectable, stable and reliable behavioral biometrics to identify individuals and track their actions based on their behavioral attributes. The behavioral biometrics (e.g., gait and habitual trajectory) are advantageous in their capability of recognition at a distance under changing environmental conditions, despite subjects’ varying physical appearances. However, establishing identity and tracking actions from distances or in crowded scenes through behavioral biometrics are complex problems due to the intrinsic challenges associated with sensing modalities and feature selections.

Keywords

Self-Healing, Biometrics, Sensing modalities, Healthcare professionals