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
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.
Read more about Off-axis metasurfaces for folded flat optics
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.
Read more about Towards attention-aware foveated rendering
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.
Read more about A high-performance speech neuroprosthesis