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

MIMIC – A Unique approach to wound healing assays
MIMIC – A Unique approach to wound healing assays
Empowering Women & Communities : Sustainable Solutions
Empowering Women & Communities : Sustainable Solutions
Feature based Transfer Function Design for Volume Rendering
Feature based Transfer Function Design for Volume Rendering
Cyber Resilience and Privacy Preservation in Smart Grid using Machine Learning Techniques
Cyber Resilience and Privacy Preservation in Smart Grid using Machine Learning Techniques
Development of Host-directed Therapies for Drug Resistant Klebsiella Pneumonia Infections
Development of Host-directed Therapies for Drug Resistant Klebsiella Pneumonia Infections
Admissions Apply Now