Research

Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices

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.

Simulating the effect of ankle plantarflexion and inversion-eversion exoskeleton torques on center of mass kinematics during walking

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.

Off-axis metasurfaces for folded flat optics

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.

Towards attention-aware foveated rendering

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.

A high-performance speech neuroprosthesis

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.

Optimizing light flash sequence duration to shift human circadian phase

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.

Current opinions on the present and future use of functional near-infrared spectroscopy (fNIRS) in psychiatry

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.

Neuromorphic sensorimotor loop embodied by monolithically integrated, low-voltage, soft e-skin

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.

Decoupling transmission and transduction for improved durability of highly stretchable, soft strain sensing: Applications in human health monitoring

Prof. Mark Cutkosky, Prof. Doff McElhinney et al present a modular approach that includes a soft, elastomeric microelectromechanical system (MEMS) optimized for application-specific performance and demonstrate an implantable cardiac sensor for measuring global longitudinal strain.

Characterization of a 30 µm pixel size CLIP-based 3D printer and its enhancement through dynamic printing optimization

Prof. Joseph DeSimone et al demonstrate a micro-CLIP 3D printing capability to manufacture finely detailed and gradient 3D structures, such as terraced microneedle arrays and micro-lattice structures, while maintaining high print speeds.