Elderly Hand Resting-Tremor Detection | 老年人手部震颤（静止性）识别

Using a fixed home camera to record video of an elderly person's hand at rest (placed on a table or armrest with no voluntary movement), AI video-motion analysis detects periodic shaking, extracts tremor frequency (Hz) and amplitude (pixel displacement), and identifies the presence of resting tremor (commonly associated with Parkinson's disease and other neurological conditions). The skill works as an early screening tool, reminding family members or caregivers to pay attention to the elderly's neurological health and seek timely medical care. Application scenarios: home-based elderly care, nursing homes, community health centers. The system can be scheduled (e.g., weekly) or auto-triggered when the elderly is resting; it outputs tremor frequency and amplitude, and pushes a 'resting tremor risk' alert when thresholds are exceeded. Skill features: an early Parkinson's signal. | 通过家庭固定摄像头拍摄老年人手部（置于桌面或自然静止）的视频，利用AI视频分析技术检测手部在静止状态下的周期性抖动频率（Hz）和幅度（像素位移），识别是否存在静止性震颤（常见于帕金森病等神经系统疾病）。该技能可作为早期筛查工具，提示家属或护理人员关注老年人神经系统健康，及时就医。应用场景：居家养老、养老院、社区健康中心。系统可定期（如每周）或在老年人休息时自动触发检测，输出震颤频率及幅度，当超过设定阈值时推送'静止性震颤风险'提醒。技能特点：帕金森早期信号。

by @18072937735 (smyx-skills)·MIT-0