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

National Knowledge Network (NKN): A Gateway to Global Classroom
National Knowledge Network (NKN): A Gateway to Global Classroom
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-2)
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-2)
Experimental Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Experimental Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Design and Control of Myo-Electric Prosthetic Arm
Design and Control of Myo-Electric Prosthetic Arm
Development of Functionally-Graded Aluminium Metal Matrix Composites and to Investigate the Mechanical and Tribological Properties
Development of Functionally-Graded Aluminium Metal Matrix Composites and to Investigate the Mechanical and Tribological Properties
Admissions Apply Now