Independent Living with Ultra-Dense Sensing

The world population is rapidly ageing. Therefore, recognizing human activities is important to assist the older adults to stay in their homes for a longer period of time. With recent developments in cheap sensors and networking technologies embedded into a "things" capable of connecting to the Internet, it has become possible to develop a wide range of valuable applications such as remote monitoring and intervention.  Therefore, in this project we will explore the potential for using battery-less, chep and tiny sensors embedded into the environment, ultra dense sensing, for recognizing human activities to support independent living.

 

Contact

Asangi Jayatilaka

Damith Ransinghe

Datasets

Smart Carpet Dataset

Citations for the Dataset

  • Asanga Wickramasinghe, Roberto Luis Shinmoto Torres, and Damith C. Ranasinghe. "Recognition of falls using dense sensing in an ambient assisted living environment." Pervasive and mobile computing (2016).
  • Torres, Roberto Luis Shinmoto, Asanga Wickramasinghe, Viet Ninh Pham, and Damith C. Ranasinghe. "What if Your Floor Could Tell Someone You Fell? A Device Free Fall Detection Method." In Conference on Artificial Intelligence in Medicine in Europe, pp. 86-95. Springer International Publishing, 2015.