Living-Alone Sleep Rhythm Anomaly Analysis | 独居者作息规律异常分析
v1.0.0Using a fixed camera in the living room or bedroom of a person living alone, the system continuously analyzes night video (typically 22:00-06:00) to detect lights-off time (when light sources turn off) and early-morning activity (human movement or body motion between 0-6 AM). It builds a personal historical baseline (e.g., average lights-off time and early-morning activity frequency over the past 7-14 days). When the current lights-off time is delayed more than 2 hours beyond the baseline, or early-morning activity frequency rises significantly (e.g., > baseline mean + 2 standard deviations), it outputs a 'rhythm anomaly' reminder. This helps family members or community workers monitor the sleep health of the person living alone and detect potential physiological or psychological issues (insomnia, anxiety, nocturnal delirium, etc.). Application scenarios: homes of elderly people living alone, single apartments, remote-care services. The system generates daily rhythm reports; when significant anomalies appear, it pushes reminders via the app, recommending family members or community-grid workers to call and check in. Skill features: disrupted sleep rhythm may be an early signal of physical illness (pain, increased nocturia) or mental issues (depression, anxiety). AI-based automatic analysis helps families spot anomalies early and proactively reach out, preventing condition deterioration. Can be integrated into home-care cameras or community grid-management platforms to enhance the safety and health support for people living alone. | 通过家庭客厅或卧室固定摄像头，夜间（通常指22:00-6:00）连续分析视频，检测熄灯时间（光源关闭的时刻）、凌晨活动（0-6点期间的人体移动或肢体动作）。建立个人历史基线（如过去7-14天的平均熄灯时间和凌晨活动频率），当当前熄灯时间比基线延迟超过2小时，或凌晨活动频次显著增加（如超出基线2个标准差）时，输出'作息规律异常'提醒。该技能可辅助家属或社区人员关注独居者的睡眠健康，及时发现潜在的生理或心理问题（如失眠、焦虑、夜间谵妄等）。应用场景：独居老人家庭、单身公寓、远程照护服务。系统每日生成作息报告，当出现显著异常时通过APP推送提醒，建议家属或社区网格员电话关心。技能特点：作息规律紊乱可能是身体疾病（如疼痛、夜尿增多）或心理问题（抑郁、焦虑）的早期信号。通过AI自动分析，可帮助家人及早发现异常，主动关怀，避免病情恶化。该技能可集成到居家养老摄像头或社区网格化管理平台中，提升独居者的生活安全和健康保障水平。
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