Design and Realization of an Early Pre-Impact Fall Alarm System Based on MEMS Inertial Sensing Units

Abstract:

Falls are the second leading cause of unintentional injury deaths worldwide, so how to prevent falls has become a safety and security problem for elderly people. At present, because the sensing modules of most fall alarm devices generally only integrate the single 3-axis accelerometer, so the measured accuracy of sensing signals is limited. It results in that these devices can only achieve the alarm of post-fall detection but not the early pre-impact fall recognition in real fall applications. Therefore, this paper aimed to develop an early pre-impact fall alarm system based on high-precision inertial sensing units. A multi-modality sensing module embedded fall detection algorithm was developed for early pre-impact fall detection. The module included a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer, which could arouse the information of early pre-impact fall warning by a buzzer and a vibrator. Total 81 times fall experiments from 9 healthy subjects were conducted in simulated fall conditions. By combination of the early warning threshold algorithm, the result shows that the detection sensitivity can achieve 98.61% with a specificity of 98.61%, and the average pre-impact lead time is 300ms. In the future, GPS, GSM electronic modules and wearable protected airbag will be embedded in the system, which will enhance the real-time fall protection and timely immediate aid immensely for the elderly people.

• Periodical: Applied Mechanics and Materials (Volume 461)
• Pages: 659-666
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.461.659
• Online since: November 2013
• Authors: Hui Qi Li, Ding Liang, Yun Kun Ning, Qi Zhang, Guo Ru Zhao
• Keywords: Early Fall Alarm, Inertial Sensor, Threshold Algorithm

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