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Articles by Viknesh Kumar
Total Records ( 2 ) for Viknesh Kumar
  Viknesh Kumar , Boon-Chin Yeo , Way-Soong Lim , Joseph Emerson Raja and Kim-Boon Koh
  Background and Objective: The risk of falls increases for elderly people who are aged 65 and above. Approximately one-third to one-half of the elderly people experience falls on a yearly basis. Falling can be a serious life-threatening event and there is a need to alert their nurses or family members instantly. The developed motion and fall detection is important to response immediate call for medical caregivers and consequently reducing the mortality rate. The objective for this project is to build a cost effective and user-friendly surveillance device. The primary objective of making such system is to track the motion or movement of elderly people in the house. Materials and Methods: Every motion on the mat will reflect to pressure data and collected via a special hardware designed with conductive grids that act like a switch, which is triggered upon pressure exerted over certain area. The pressure value is extracted from a pressure conductive material called velostat. The values are read by microcontroller. Results: The innovative mat will study user’s behaviour daily. Once the fall is detected, an alert message will be sent in the form of SMS and email. Apart from fall detection, surveillance system has been incorporated to support vision-based activation for the fall detection system and user access logging. Conclusion: This designed mat is a non-invasive device essential for detection of fall and monitoring. The developed system gives an accuracy of 80% in detecting a fall event for phase 1 detection and 90% in detecting a fall event for phase 2 detection.
  Viknesh Kumar , Boon-Chin Yeo and Way-Soong Lim
  Generally, falling is prevalent in elderly of age 65 and above due to age-related biological changes. Falls can be life-threatening if noticed late. Hence, a fall detection and surveillance device was developed to monitor elderly living alone. The primary objective is to build a pressure sensitive mat capable of detecting fall through image processing. The subjects tested resembled the stature of elderly. The accuracy of the system in detecting fall is 93% while the accuracies for the other postures such as standing and sitting yield 93.5 and 81.5%, respectively.
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