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An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a Visitor
Entropy ( IF 2.7 ) Pub Date : 2020-07-30 , DOI: 10.3390/e22080845 Aadel Howedi , Ahmad Lotfi , Amir Pourabdollah
Entropy ( IF 2.7 ) Pub Date : 2020-07-30 , DOI: 10.3390/e22080845 Aadel Howedi , Ahmad Lotfi , Amir Pourabdollah
This paper presents anomaly detection in activities of daily living based on entropy measures. It is shown that the proposed approach will identify anomalies when there are visitors representing a multi-occupant environment. Residents often receive visits from family members or health care workers. Therefore, the residents’ activity is expected to be different when there is a visitor, which could be considered as an abnormal activity pattern. Identifying anomalies is essential for healthcare management, as this will enable action to avoid prospective problems early and to improve and support residents’ ability to live safely and independently in their own homes. Entropy measure analysis is an established method to detect disorder or irregularities in many applications: however, this has rarely been applied in the context of activities of daily living. An experimental evaluation is conducted to detect anomalies obtained from a real home environment. Experimental results are presented to demonstrate the effectiveness of the entropy measures employed in detecting anomalies in the resident’s activity and identifying visiting times in the same environment.
中文翻译:
一种基于熵的有访客存在的日常生活活动异常检测方法
本文提出了基于熵度量的日常生活活动异常检测。结果表明,当有访客代表多人居住环境时,所提出的方法将识别异常。居民经常会收到家人或医护人员的探访。因此,当有访客时,居民的活动预计会有所不同,这可以被视为异常活动模式。识别异常对于医疗保健管理至关重要,因为这将有助于采取行动及早避免潜在问题,并提高和支持居民在自己的家中安全独立地生活的能力。熵测度分析是在许多应用中检测无序或不规则的既定方法:然而,这很少适用于日常生活活动。进行实验评估以检测从真实家庭环境中获得的异常。实验结果证明了熵测量在检测居民活动异常和识别相同环境中的访问时间方面的有效性。
更新日期:2020-07-30
中文翻译:
一种基于熵的有访客存在的日常生活活动异常检测方法
本文提出了基于熵度量的日常生活活动异常检测。结果表明,当有访客代表多人居住环境时,所提出的方法将识别异常。居民经常会收到家人或医护人员的探访。因此,当有访客时,居民的活动预计会有所不同,这可以被视为异常活动模式。识别异常对于医疗保健管理至关重要,因为这将有助于采取行动及早避免潜在问题,并提高和支持居民在自己的家中安全独立地生活的能力。熵测度分析是在许多应用中检测无序或不规则的既定方法:然而,这很少适用于日常生活活动。进行实验评估以检测从真实家庭环境中获得的异常。实验结果证明了熵测量在检测居民活动异常和识别相同环境中的访问时间方面的有效性。