Research

Highlighted research relevant to wearables at Stanford University

Palette-PrintAR: augmented reality (AR) design and simulation for multicolor resin 3D printing

Prof. Joseph DeSimone and Gabriel Lipkowitz introduce an AR-based design tool that allows users to select colors of growing 3D objects and emulates traditional resin artistic practices.

Skin-inspired soft bioelectronic materials, devices and systems

Prof. Zhenan Bao et al review recent progress in soft organic and hybrid electronic materials, device components, and integrated bioelectronic systems that improve functional performance, stability, and reliability in biomedical applications.

Full-color 3D holographic augmented-reality (AR) displays with metasurface waveguides

Prof. Gordon Wetzstein et al developed a near-eye display that pairs inverse-designed metasurface waveguides with AI-driven holographic displays to enable full-color 3D AR in glasses-like form factor.

Shape-memory-assisted self-healing of macroscopic punctures via high-energy-density periodic dynamic polymers with tunable actuation temperature

Zhenan Bao et al show that high energy density shape memory polymers can heal films and devices even when they have been punctured with a blade to create centimeter-sized holes.

High-speed and large-scale intrinsically stretchable integrated circuits

Prof. Zhenan Bao et al develop and demonstrate stretchable integrated circuits with more than 1,000 transistors and stage-switching frequency greater than 1 MHz, an active-matrix tactile sensor array with a record-high density of 2,500 units per sq cm, and a light-emitting diode display with refresh speed of 60 Hz.

NOIR: Neural signal operated intelligent robots for everyday activities

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.

Digital health application integrating wearable data and behavioral patterns improves metabolic health

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.
custom reader

A disposable reader-sensor solution for wireless temperature logging

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.

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.