Design of an IoT-Based Mountaineering Team Management Device Using Kalman Filter Algorithm

Abstract

The heart rate and body temperature for the mountaineering user is very import to detect their life risk factor. Amidst the emergence of wearable and Internet of Things (IoT) devices, exercise- and leisure-related wearable devices have exhibited the most growth in popularity. While many exercise-related wearable devices are available, few have been designed for group interactions. This paper proposes an IoT-based mountaineering team management device to effectively assist mountaineering guides in leading mountaineering teams. The device can monitor the real-time physiological status and coordinate of each team member, and uploads the information to the cloud service platform via the fourth-generation (4G) mobile Internet. We used an unscented Kalman filter (UKF) to reduce the data influence of motion since the user’s heartbeat and temperature are unstable during the motion of mountaineering. When an abnormal event occurs, the device allows the guide to immediately acquire the real-time information of each member. If accidents occur or team members become lost, the device enables quickly locating the lost members. Additionally, the device can be used to make announcements to all team members. The proposed device can immediately and effectively assist mountaineering guides managing mountaineering teams, thereby improving mountaineering safety.