Researchers in the Noh Lab have developed a gait based, emotion recognition system using geophone sensors that are attached to the floor. People's gait changes under various emotions creating distinct structural vibration patterns.
Researchers at Stanford University have developed a multilayered immiscible polymer system capable of autonomously realigning its layers to enhance the healing process after damage.
Stanford researchers have created a novel wearable device and system to assess fatigue on the user based on electrical activity associated with an eye blink of the subject.
Stanford researchers in the Bao Lab have designed hydrophobic perfluoropolyether (PFPE) polymers that can be applied in underwater conditions, at room temperature, without any solvent or curing steps, and can be reused and recycled.
Actigraphy, or the non-invasive study of human activity-rest cycles, is a field of study of growing importance as ambulatory and at-home monitoring of patients becomes more popular.
Measurement of dissolved CO2 has critical applications in healthcare monitoring and consumer goods quality control, yet is difficult to measure directly.
Researchers at Stanford have developed AgeIndex, the first whole-genome epigenetic aging index and method based on Whole Genome Bisulfite Sequencing (WGBS) assays.
Many industries rely on the ability to predict and understand changes over time. Such changes include understanding the economical trend, emergence of infectious disease, and patterns in human behavior.
Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.
Stanford researchers have created an integrated cooling textile (called i-Cool) with an unique functional design for personal perspiration management (PPM).
This bandage-like multi-lead, continuous ECG monitoring device uses new stretchable electrode material developed in the Bao group to accurately and imperceptibly diagnose cardiac arrhythmia.
Stanford researchers at the Camarillo Lab have designed a real-time screening device system for predicting risk of concussion resulting from head impacts.
Stanford researchers at the Zhenan Bao Lab have designed a device and method for real-time monitoring of arterial blood flow using a biodegradable, flexible, wireless and battery-free sensor mounted on an artery.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.