无人机引导老人运动

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起猛了!台湾老人跟着无人机做八段锦,准确率还爆表
机器人大讲堂· 2025-07-26 15:56
Core Viewpoint - The article discusses the innovative use of a drone system named Pei-Wo Drone developed by a research team from National Cheng Kung University in Taiwan, aimed at assisting elderly individuals in maintaining their exercise routines at home, addressing the global challenge of elderly inactivity [1][16]. Group 1: Technology and Design - The Pei-Wo Drone is a small, lightweight (30 grams) drone that utilizes advanced sensors for precise indoor positioning, including ToF sensors, optical flow sensors, and UWB positioning sensors [3][4]. - The system includes a drone, two wrist sensors, eight UWB positioning bases, and a control computer, allowing for real-time tracking of the user's hand positions [4][6]. - The drone operates by flying 1.2 meters in front of the user, providing a clear visual guide while minimizing psychological pressure [6][7]. Group 2: Testing and Results - A study involving 15 elderly participants demonstrated that the drone-guided exercise significantly improved accuracy, with vertical arm movements achieving an accuracy rate of 99.64% for the right arm and 92.35% for the left arm [8][9]. - The system's performance was evaluated through detailed motion analysis, identifying specific stages where participants struggled, which will inform future system enhancements [10]. Group 3: User Feedback and Acceptance - Participants expressed high satisfaction with the drone system, with many preferring it over traditional video guidance, citing ease of use and comfort during interaction [11][13]. - Suggestions for improvement included making the drone more visually appealing and incorporating video demonstrations for first-time users [14]. Group 4: Market Position and Future Directions - The Pei-Wo Drone offers distinct advantages over existing technologies like VR and AR, which can cause discomfort during prolonged use, by providing a real 3D guiding object that enhances the exercise experience [14]. - Future developments may include aesthetic enhancements, LED feedback, and adaptive algorithms to tailor the system to individual users' physical conditions and capabilities [15].