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

Brain Computer Interface and Assistive Technology using EEG
Brain Computer Interface and Assistive Technology using EEG
Towards Next-generation Adaptable Computing
Towards Next-generation Adaptable Computing
Impact of Board Characteristics on Firm Performance: A Comparison of Private Sector Firms with SOEs in India
Impact of Board Characteristics on Firm Performance: A Comparison of Private Sector Firms with SOEs in India
Alcohol Awareness & Self Esteem Program for Children in Tribal Villages
Alcohol Awareness & Self Esteem Program for Children in Tribal Villages
Evaluating the Role of Energy Services for Enhanced Quality of Life
Evaluating the Role of Energy Services for Enhanced Quality of Life
Admissions Apply Now