Wearable Assistive System Design for Fall Prevention

Fall is the prevalent issue among the elderly, and fall risk assessment and prevention are very important. Recent research discovers that bio-signal can be used to forecast falls via the pre-warning information. However, assistive devices for fall prevention are fully customized and difficult to implement in terms of wearability. In the paper, we will introduce the framework to design and implement wearable systems. Also we will present three case studies: smart insole, smart cane and smart headset to verify the feasibility of our proposed method. To the best of our knowledge, it is the first comprehensive literature for the discussion about fall prevention technology.