AI based Activity Monitoring and Unusual Activity Detection for Elderly Homes -AI Projects

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AI based Activity Monitoring and Unusual Activity Detection for Elderly Homes -AI Projects

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AI based Activity Monitoring and Unusual Activity Detection for Elderly Homes  -AI Projects

The objective of this project is to monitor and detect unusual activity for an elderly person [1].

Individuals spend the majority of their time in their home or workplace and many feels that these places are their sanctuaries. The sensors collect information about the state of the home and resident [2].

Activity learning techniques use this information to identify and reason about routine or normal behavior in terms of recognized and forecasted activities. This identified behavior forms the basis for threat detection based on sensing abnormal behavior.

Once the abnormal behavior is identified as a threat, the home selects an action to take as a response. We evaluate our approach in the context of actual smart home test beds. The elderly may require frequent, immediate medical intervention, which may otherwise result into fatal consequences [1]. Such emergency situations can be avoided by monitoring the physiological parameters and activities of the elderly in a continuous fashion. In most emergency cases, the elderly seek in-patient care, which is very expensive and can be a serious financial burden on the patient if the hospital stay is prolonged.

The proposed work allows people to remain in their comfortable home environment rather than inexpensive and limited nursing homes or hospitals, ensuring maximum independence to the occupants.

Therefore, an affordable, un-obtrusive and comprehensive healthcare solution with minimal workforce is of utmost importance for long-term health management and monitoring, especially for the rapidly rising elderly population.

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