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

Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
Method to Control Ultraviolet Radiation in Welding Processes
Method to Control Ultraviolet Radiation in Welding Processes
Search and Rescue Robot
Search and Rescue Robot
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Value Addition to Underutilized Biosources
Value Addition to Underutilized Biosources
Admissions Apply Now