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Apparatus and Method for Low-Power EMG and EEG Devices for HMI (Case No. 2023-146)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed compact, low-power neural signal sensing solutions to enhance human-machine interfaces (HMI), including AR/VR systems. Background: Electrogram technologies, such as electroencephalogram (EEG) and electromyography (EMG), are widely used to capture biological...
Published: 5/14/2025
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Inventor(s):
Aydin Babakhani
,
Sepideh Nouri
Keywords(s):
Antennas/Wireless
,
Augmented Reality
,
Biosensor
,
Brain computer interface
,
brain machine interface
,
Electroencephalography
,
Electroencephalography (EEG)
,
energy-efficient wireless communication
,
Extended reality
,
Human/Brain computer interfaces (BCI/HCI)
,
Microelectronics
,
motion detection
,
on-eyelid sensor
,
Radar / Antennae
,
real-time sensing/monitoring/tracking
,
Remote Sensing
,
self-powered wireless sensor solutions
,
smart sensing
,
Software & Algorithms
,
Virtual Reality
,
wearable electronics
,
wearable sensors
Category(s):
Electrical > Sensors
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Electrical > Electronics & Semiconductors
,
Electrical
,
Software & Algorithms
,
Software & Algorithms > Ar/Vr