Prof. Fei-Fei Li, Prof. Jiajun Wu, Prof. Anthony Norcia et al demonstrate a system that uses direct neural communication to control robots by interpreting intended human actions with specific objects via EEG input.
Read more about NOIR: Neural signal operated intelligent robots for everyday activities
Prof. Michael Snyder, Prof. Tracey McLaughlin, Prof. Nima Aghaeepour et al find that recommendations in a mobile app using integrated data from wearables, behavior logging and continuous glucose monitoring can enhance metabolic health and lead to healthier lifestyle choices.
Read more about Digital health application integrating wearable data and behavioral patterns improves metabolic health
Prof. Ada Poon, Prof. Ali Mani, Prof. Zhenan Bao, Prof. Philip Wong, Prof. Eric Pop et al report a battery-free, sticker-like reader and passive wireless sensor capable of recording temperature history, which utilizes self-oscillation in the reader for simplicity.
Read more about A disposable reader-sensor solution for wireless temperature logging
Prof. Hae Young Noh et al present an IoT device ID association scheme that leverages body-part orientation detected by wearable devices and cameras in the building to locate individuals and identify their devices.
Read more about Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices
Prof. Scott Delp, Prof. C. Karen Liu, Prof. Steven Collins et al used musculoskeletal simulation to evaluate the effect of exoskeleton torques on walking kinematics and highlight how muscle properties influence the dynamics of human-device interactions, giving designers a guide for building exoskeletons aimed at improving gait stability.
Read more about Simulating the effect of ankle plantarflexion and inversion-eversion exoskeleton torques on center of mass kinematics during walking