Back close

Behavioural Abnormality Detection for population with Mild cognitive impairment in a multi-occupant Ambient Assisted Living

Project Incharge:Dr. Subhasri Duttagupta
Behavioural Abnormality Detection for population with Mild cognitive impairment in a multi-occupant Ambient Assisted Living

Consider a multi-home multi-occupant AAL system that monitors elderly population for their daily activities (HAR) using both environmental and wearable sensors. The objectives of this research can be listed as follows: 

  • Provide a personalized assistance based on the occupants’ medical history. The assistance may depend on the specific activity (for example, taking certain medicines at a particular time)
  • Raise a timely alarm if some abnormality is detected for people who are having cognitive decline, this involves correlating with an occupant’s daily routine activities. 
  • Use a trained model to recognize the activities of a new user with very different physiological parameters, age and perhaps belonging to a different demographic background. 

Related Projects

Modeling of Deformation in Machining Processes
Modeling of Deformation in Machining Processes
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Smart Water Management
Smart Water Management
Identification of Human in High Speed Vehicles During Accidents
Identification of Human in High Speed Vehicles During Accidents
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Admissions Apply Now