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

Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
Center for Digital Health (Wireless Telemedicine)
Center for Digital Health (Wireless Telemedicine)
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
Characterization of Surface and Groundwater During a Natural Disaster
Characterization of Surface and Groundwater During a Natural Disaster
Admissions Apply Now