Identifying irregular activity sequences: an application to passive household monitoring
Identifying irregular activity sequences: an application to passive household monitoring
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DOI：
10.1093/jrsssc/qlad005
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Jess Gillam;R. Killick;Simon Taylor;Jack Heal;Ben Norwood
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文献类型：
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作者：
Jess Gillam;R. Killick;Simon Taylor;Jack Heal;Ben Norwood
由于现代医学的进步和其他因素，大约五分之一的人将活到100岁生日。65岁以上的人占择期入院人数的42%，占急诊入院人数的43%。人们越来越多地转向技术来帮助改善老年人的健康和护理。可穿戴设备在老年人群中取得成功的证据喜忧参半，其中一个关键障碍是采用。相比之下，被动传感器，如红外线运动和插头传感器已经取得了更大的成功。这些被动传感器给我们一个明确的“触发”事件在一天中的序列。本文提出了一种方法，用于检测序列中的细微变化，同时考虑到自然的日常变化和每天不同数量的“触发”事件。
Approximately one in five people will live to see their 100th birthday due to advancements in modern medicine and other factors. Over 65’s constitute 42% of elective admissions and 43% of emergency admissions to hospitals. Increasingly, people are turning to technology to help improve health and care of the elderly. There is mixed evidence of the success of wearables in older populations with a key barrier being adoption. In contrast, passive sensors such as infra-red motion and plug sensors have had more success. These passive sensors give us a sequence of categorical “trigger” events throughout the day. This paper proposes a method for detecting subtle changes in sequences while taking account of the natural day-to-day variability and differing numbers of “trigger” events per day.