Category: Research

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.

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.

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.

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.

Prof. Mark Brongersma et al describe an off-axis metasurface architecture that uses low-aspect-ratio, low-refractive- index, dielectric elements to enable low-cost large-area manufacturing and reduced optical path volume for folded optical systems, such as AR/VR imaging devices.

Prof. Gordon Wetzstein et al introduce the first attention-aware model of contrast sensitivity with foveated graphics, which is a promising approach to solving the bandwidth challenges of immersive virtual and augmented reality displays by exploiting the falloff in spatial acuity in the periphery of the visual field.

Prof. Jamie Henderson, Prof. Shaul Druckmann et al demonstrate decoding 62 words per minute of intended speech by recording activity from a very small area on the brain’s surface.

Prof. Jamie Zeitzer et al describe findings that 15 min of flashing light interventions change circadian timing, for use in the treatment of circadian rhythm sleep disorders.

Prof. Allan Reiss, Prof. Manish Saggar, Prof. Hadi Hosseini et al discuss many applications of fNIRS in psychiatry, protype wearable fNIRS devices, and future integration of EEG, eye tracking, heart rate and artificial intelligence to enable effective personalized monitoring, diagnosis, and treatment for patients with psychiatric disorders.

Prof. Zhenan Bao et al report an electronic skin that incorporates organic semiconductor transistors and has no rigid components, thus mimicking aspects of real skin in mechanical properties, sensing temperature and pressure and can encode these stimuli into electrical pulses.