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

Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters
A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters
Determination of Antibacterial Activity of Different Spices Against E.coli
Determination of Antibacterial Activity of Different Spices Against E.coli
Utilization of micronutrients rich indigenous cow dung to develop an innovative dermal trace metal delivery system with multifunctional facets 
Utilization of micronutrients rich indigenous cow dung to develop an innovative dermal trace metal delivery system with multifunctional facets 
Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions
Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions
Admissions Apply Now