New research aims to increase autonomy for individuals with such motor impairments by introducing a head-worn device that will help them control a mobile manipulator. Teleoperated mobile manipulators can aid individuals in completing daily activities, but many existing technologies like hand-operated joysticks or web interfaces require a user to have substantial fine motor skills to effectively control them. Research led by robotics Ph.D. student Akhil Padmanabha offers a new device equipped with a hands-free microphone and head-worn sensor that allows users to control a mobile robot via head motion and speech recognition.
The abundance of wrist-worn heart rate measuring devices enables long term cardiovascular monitoring through photoplethysmography (PPG). Such signals contain unique identifiable information that can help in biometric authentication. In this work, we propose Fusion-ID, which use wrist-worn PPG sensors fused with motion sensor data as a way to do bio…
The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain's electrical activity during the immersive VR interactions.