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

Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Developing Suitable Pedagogical Methods for Various Classes, Intellectual Calibers and Research in E-learning- Main Phase
Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Growth and Fabrication of Blue – Green Lasers for under Water Communication
Growth and Fabrication of Blue – Green Lasers for under Water Communication
Exploration of Machine Learning Techniques for Clinical Data
Exploration of Machine Learning Techniques for Clinical Data
Admissions Apply Now