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

E-Governance Accessibility for the Deaf (Sign Language Recognition) 
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
Evaluating the Role of Energy Services for Enhanced Quality of Life
Evaluating the Role of Energy Services for Enhanced Quality of Life
Quantum Technologies
Quantum Technologies
Women in Sustaining the Environment Phase 2: Water Quality Monitoring Project
Women in Sustaining the Environment Phase 2: Water Quality Monitoring Project
Tri-Band Microstrip Patch Antenna for GPS Application
Tri-Band Microstrip Patch Antenna for GPS Application
Admissions Apply Now