A PDA based Wearable System for Real-Time Monitoring of Human Falls

Abstract

This research aims to use personal digital assistant (PDA) to monitor falls of stroke patients and the elderly. With the combination of micro sensor, digital data access application, and wireless transmission, this research has developed this PDA based wearable system for real-time monitoring of human falls. The sensor of unique monitoring system equipped with real-time automatic responsive function can be loaded in user's clothing and wearable. When the user falls down, the system will detect the position of falls and automatically sends the warning signal out. In the near end, detected signals are sent to PDA for analysis via wireless Bluetooth (BT) technology and at the same time, signals for help stored in the speech database inside PDA are also initiated to inform the nearby personnel of the emergency. The user is able to send user's information to the computer in the far end monitoring station and when the possible fall occurs, the system automatically informs designated subject via MSM for proper crisis management. Through this system for real-time monitoring of human falls, home helpers and families are able to save some time and energy for inspection and have a good command of safety information of users.

Indexing terms:

• Personal digital assistant
• Falls of stroke patients
• Micro sensor
• Digital data access

Additional information

Notes on contributors

Chern-Sheng Lin

Chern Sheng Lin received his PhD degree from Institute of Optical Science of the Central University in 1994. Since 2000 he has been a professor in Feng Chia University. His interests are precision metrology, optical instrumentation and machine vision.