Bits and Joules: Empowering energy consumers through IoT & AI
The Energy vertical is going through a paradigm shift from centralised conventional generation and distributed consumption to non-conventional distributed generation (with renewables and battery technologies) and distributed consumption. This change is posing challenges and driving…
Machine Learning with Limited Signals at Mote-Scale
This talk describes the growing role of machine learning in battery-powered wireless sensor networks being deployed in rural and urban areas for environmental and wildlife projection. Specifically, we will discuss radar-based HornNet, deployed in a…
VerticalThings: A DSL for ML/Data Processing IoT Applications
The Internet of Things (IoT) is poised to revolutionize our world. Billions of microcontrollers and sensors have already been deployed for predictive maintenance, connected cars, precision agriculture, personalized fitness and wearables, smart housing, cities, healthcare,…
Machine Learning for Placement-insensitive Inertial Motion Capture (ICRA 2018)
Although existing inertial motion-capture systems work reasonably well (less than 10 degree error in Euler angles), their accuracy suffers when sensor positions change relative to the associated body segments (+/1 60 degree mean error and…