It consists of the the smart devices and the IoT groups.
The smart devices group has worked on Non-Intrusive Load Appliance load Monitoring (NIALM) and Prepaid Energy Meters in the past. It has developed solutions for the problem of device identification in NIALM, of which the recent work involves the application of Machine Learning to this problem.
Smart devices group has created custom datasets and also worked on large publicly available datasets for NIALM.
The IoT group has worked on gesture recognition (GR) - it comprises of designing and constructing glove prototypes used to identify sign languages with both custom-made as well as commercially available sensors. Our most recent work on GR was the application of machine learning powered models to accurately recognize gestures in renowned datasets.