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

Video Summarization and Annotation for Content Based Retrieval
Video Summarization and Annotation for Content Based Retrieval
Production, Purification And Application Of Naringinase From Aspergillussp. Sec. Nigri
Production, Purification And Application Of Naringinase From Aspergillussp. Sec. Nigri
AI for Early Detection of Sepsis & Infections
AI for Early Detection of Sepsis & Infections
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Admissions Apply Now