A System for Sleepwalking Accident Prevention Utilizing the Remote Sensor of Wearable Device

Abstract

Sleepwalking is a type of sleep disorder which originates during deep sleep and results in walking state and performing series of complex behaviors or actions while sleeping. In some cases, sleepwalking patients can injure themselves from their actions such as driving a car or climbing out of a window. In addition, to wake up the sleepwalkers can be difficult. The suddenly waking up and can cause them to be confused or even attack the person who wakes them. Therefore, detecting the sleepwalking incident in an early state can help the caretaker or family members to stop the patients before they harm themselves from any strange, inappropriate, or violent behaviors. In this research, we present a prototype system of sleepwalking detection algorithm and notification system using smart device which work coordinating with wearable device. There are two main groups of users; patients and caretakers. User Activity Sensor (UAS) in the wearable device is utilized for detecting User Activity Data (UAD) which is unusual activities of inducing a sleepwalking patient provided by the Remote Sensor SDK. The system returns the patient UAD states consisting of standing, walking, and running. The smart device accepts the UAD states from the wearable device, performs sleepwalking detection algorithms then, alarms caretakers when the sleepwalking state has already invoked. The system is implemented, built, tested and deployed. The threefold experimental measurement of physical user activites have been performed to validate our proposed sleepwalking detection algorithms. The system correctly detects the sleepwalking states and notifies the caretaker.

Intelligent Detection and Analysis of Wearable Devices in Wushu Training

“…e detection system based on wearable intelligent equipment can be carried around to reasonably analyze the body load through the physical condition of athletes and contact with the upper and lower conditions; it can make targeted suggestions to athletes according to the predesigned martial arts action state, which is the mainstream martial arts detection system at present [6]. is paper briefly discusses the acquisition of athletes' data and data processing [7]. Literature [8] develops a sensor which is applied to the data acquisition scene of the Wushu boxing ring.…”

Evaluation of a Textile PIFA for Wearable IoT Application and its Challenges

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