The holy grail of ultra-low-power sensing is zero-power consumption while performing the actions of sensing, transducing, amplifying, digitizing and transmitting data. While that is not possible in a real-world embodiment, it is possible to circumvent this issue using intelligent signal processing to first realize devices with minimal energy signature and then scavenge power from natural energy to perform these tasks. Our research is focused on miniaturized electronic sensors using energy-efficient information-aware sampling. We focus on long-term activity monitoring and early intervention prediction with improved power output and stability.
Publications: TBiocas’18 (under review), Sensors’16.