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

Evaluation and Promotion of Rational Drug Use in Primary Health Care Centres in Gassim Region
Evaluation and Promotion of Rational Drug Use in Primary Health Care Centres in Gassim Region
Use of Drones to Effectively Rescue Trapped Victims in Collapsed Buildings
Use of Drones to Effectively Rescue Trapped Victims in Collapsed Buildings
Hybrid Analysis Framework for Detection of Application Backdoors
Hybrid Analysis Framework for Detection of Application Backdoors
Spaceborne Estimation of Groundwater Variability in Northwestern India
Spaceborne Estimation of Groundwater Variability in Northwestern India
Development of chromatographic separation and detection techniques for natural products, as plant extracts, peptides, proteins and carbohydrates
Development of chromatographic separation and detection techniques for natural products, as plant extracts, peptides, proteins and carbohydrates
Admissions Apply Now