Devices

Products for the mind, by the mind. Our devices division builds technologies that push limits, inspire innovation, and drive real-world change.

Purpose


Neurotechnology’s potential to improve lives is unmatched. Neurotech@Berkeley is committed to building innovative, impactful software and hardware solutions to big problems.

Our Devices Division pioneers novel human‑machine interfaces and bioelectronic systems that push the limits of what technology can do for humanity. From acoustic tweezers and focused ultrasound arrays to flexible biosignal acquisition and tactile feedback platforms, we explore every frontier of interaction between biology and engineering. Our teams design custom hardware from the PCB to the sensory mechanisms, blending neuroscience, embedded systems, and physics to create tangible breakthroughs that expand human capability, accessibility, and understanding.




Current Projects

RobLES

Build and control an external limb using EMG (building off of Neurowrist work)

Electric Feel (eFeel)

Building tactile and haptic feedback systems inspired by human mechanoreceptors to enhance prosthetics, sensory augmentation, and human-copter interaction

FlexEMG

Designing a reconfigurable biosignal acquisition board for EMG, EEG, and beyong, enabling adaptive filtering, gain control, and high-fiedlity biophysical sensing

Acoustic Tweezers

Developing a phased-array ultrasound system capable of levitating and steering particles with sound, paving the way for transcranial focused ultrasound research

EMG Gesture Prediction

A novel CNN and LSTM based machine learning project predicting hand gestures from EMG muscle movements




Recent Archives

Neuromorph

Design and build a flexible EEG that is affordable and enables user-defined electrode position and count

Neurowrist

Utilize real-time processing EMG signals from the wrist and translate captured features into controls

Gazeware

Answering visual questions using image and word embeddings and recurrent attention algorithms

EMG Roboarm

Built machine learning classifier for EMG signals for operating a 3D printed prosthetic arm

EEG Mind-Control Car

Used EEG tracking with a Muse headset for hands-free vehicle control through blinks and winks

Canine fNIRS BCI

Built an fNIRS headset for dogs for tracking oxygenation of their olfactory bulb to detect disease states of their owners

Tunable PCB for EMG/EEG

An EOG headset and application for monitoring productivity during work sessions. Analyzes EOG signals to measure focus, fatigue, and alertness and displays metrics in a dashboard.