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

Treatment of Pharmaceutical and personal care products (PPCPs) using Advanced Oxidation Process
Treatment of Pharmaceutical and personal care products (PPCPs) using Advanced Oxidation Process
Thematic Unit of Excellence (TUE) on Tissue Engineering and Medical Bio-Nanotechnology
Thematic Unit of Excellence (TUE) on Tissue Engineering and Medical Bio-Nanotechnology
ATrans-Care
ATrans-Care
Hybrid Composite for Aviation Applications
Hybrid Composite for Aviation Applications
Development of Source Code Methodologies – Plagiarism Detection Engine
Development of Source Code Methodologies – Plagiarism Detection Engine
Admissions Apply Now