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

Total Colorings for Certain Classes of Cayley Graphs
Total Colorings for Certain Classes of Cayley Graphs
Modeling fMRI BOLD Correlates of Neural Circuit Activity
Modeling fMRI BOLD Correlates of Neural Circuit Activity
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of dosha imbalance
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of dosha imbalance
Non-invasive Detection of Glucose using Planar RF Sensors
Non-invasive Detection of Glucose using Planar RF Sensors
Synthesis and Preliminary Evaluation of Ring
Synthesis and Preliminary Evaluation of Ring
Admissions Apply Now