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

Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Digital Health at Every Doorstep Using Integrated High Bandwidth Wireless Communication Networks
Digital Health at Every Doorstep Using Integrated High Bandwidth Wireless Communication Networks
Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach
Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach
Development of an Epidemiological Model to Modify Cardiovascular Risk Profile in Children
Development of an Epidemiological Model to Modify Cardiovascular Risk Profile in Children
Seabuckthorn – A Repository of Bioactive Phytochemicals
Seabuckthorn – A Repository of Bioactive Phytochemicals
Admissions Apply Now