Internet of things based smart applications has occupied a considerable place in our everyday life. They are expected to understand human activities and requirements in the recent future and thus assist in addressing the problem of elderly care, young infants, and patients requiring postoperative care. Especially, smart homes are equipped with a various number of sensors and devices of different categories which generate continuous readings. Proper and error-free processing of these received data by multiple applications can significantly enhance the functionality of smart home with the potential to analyze and infer the physical health of the resident.
- Leveraging IoT Sensing to Improve Activity Detection in Smart Homes
- Storage Optimization in Smart Homes
- Transient and Permanent Anomaly Detection in Smart Homes
- “Demultiplexing activities of daily living in IoT enabled smart homes”, Palanivel Kodeswaran, Ravi Kokku, Madhumita Mallick, Sayandeep Sen, In Proc. IEEE INFOCOM 2016
- “SleepSensei: An Automated Sleep Quality Monitor and Sleep Duration Estimator”, Amrith Krishna, Madhumita Mallick, Bivas Mitra, In Proc. 1st Workshop on IoT enabled Healthcare and Wellness Technologies and Systems (Jointly organized with ACM Mobisys 2016).
- “Poster: Demultiplexing Activities of Daily Living and Reducing Overhead of Storage in IoT enabled Smarthomes.” Mallick, Madhumita, Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion (Mobisys). ACM, 2016.
- Hewlett-Packard Enterprise
Members & Collaborations
- Dr. Niloy Ganguly
- Madhumita Mallick
- Dr. Sayandeep Sen, Dr. Palani Kodeswaran, Dr. Ravindranath Kokku (IBM)
- Dr. Suparna Bhattacharya, Madhumita Bharde (HPE)
- Dr. Archan Misra, Dr. Youngki Lee (SMU)