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

Autonomous Vehicle
Autonomous Vehicle
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density
Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density
Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
Slum Hypertension Project
Slum Hypertension Project
Admissions Apply Now