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

Abuse of Oral Contraceptives
Abuse of Oral Contraceptives
Medical Signal Processing using IoT Devices
Medical Signal Processing using IoT Devices
Developing a Sustainable Education System for Rural Chhattisgarh
Developing a Sustainable Education System for Rural Chhattisgarh
Design and Validation of Point of Care Disposable Sensor Strips for Diagnosis of Tuberculosis from Urine Samples
Design and Validation of Point of Care Disposable Sensor Strips for Diagnosis of Tuberculosis from Urine Samples
Empowering Rural Children with 21st century skills
Empowering Rural Children with 21st century skills
Admissions Apply Now