Elderly Drinking-Cup Pickup Frequency (Dehydration Risk) | 老年人饮水杯拿起频率（脱水风险）
v1.0.0Using a fixed camera in the living room or kitchen, the system analyzes video of the water-cup placement area (e.g., coffee table, dining table), detects hand-to-cup contact actions (pickup, putdown), and counts daily cup-pickup events (an indirect proxy for water intake). When the daily pickup count falls below a preset threshold (e.g., fewer than 6 times per day), it outputs a 'dehydration risk' alert and suggests family members or caregivers to encourage the elderly to drink more. The skill helps prevent dehydration, urinary tract infection and cognitive decline caused by insufficient water intake. Application scenarios: homes of elderly people living alone, nursing homes, daycare centers. The system generates a daily drinking report; when the count is insufficient, it pushes a mobile-app reminder. Skill features: elderly people often have a dulled thirst sensation and are prone to chronic dehydration, leading to constipation, urinary tract infection, cognitive issues, etc. AI auto-counting of cup pickups helps family members spot insufficient intake in time and intervene. Can be integrated into home-care cameras or community health-management platforms as a practical feature for elderly health protection. | 通过客厅或厨房固定摄像头，分析水杯放置区域（如茶几、餐桌）的视频，检测手部与水杯的接触动作（拿起、放下），统计每日水杯拿起次数（间接反映饮水量）。当每日拿起次数低于预设阈值（如每天少于6次）时，输出'脱水风险'提醒，建议家属或护理人员督促老人增加饮水。该技能有助于预防因饮水不足导致的脱水、泌尿系感染及认知功能下降。应用场景：独居老人家庭、养老院、日间照料中心。系统每日生成饮水统计报告，当次数不足时通过手机APP推送提醒。技能特点：老年人对口渴感知迟钝，易发生慢性脱水，导致便秘、尿路感染、认知障碍等问题。通过AI自动统计饮水杯拿起次数，可帮助家属及时发现饮水不足，采取干预措施。该技能可集成到居家养老摄像头或社区健康管理平台中，成为老年人健康守护的实用功能。
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