Developing A Fall Detection Algorithm For Elderly By Using GSM

Yong, Min Fung (2016) Developing A Fall Detection Algorithm For Elderly By Using GSM. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

World Health Organization (WHO) define that elderly are people who are 65-year-old and above. Besides that, WHO found that fall events are one of the major problem that cause elderly injury and even lead to disability and death. Some elderly fall relate to late of giving emergency aid. In this study, a combination of fall detection algorithm is introduced. The algorithm used is the total sum of 3-axis acceleration and orientation of human body. After study the fall characteristics, both threshold values are set. When the falling condition meets the threshold values, recovery time start counting. Recovery time is to reduce false detection. Recovery time is for elderly to get back to their original position within time limit. If the elderly did not back to dedicated position, an alert message will send out to personnel care via GSM module. The algorithm introduced can differentiate between falls and activity daily living (ADLs).

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