Results 211 to 220 of about 11,454 (281)

Validation of sleep-wake estimation from thigh-worn accelerometers against polysomnography in adolescents with and without mental disorders. [PDF]

open access: yesBMC Psychiatry
Wilms M   +18 more
europepmc   +1 more source

Electrooculography and Tactile Perception Collaborative Interface for 3D Human–Machine Interaction

ACS Nano, 2022
The human-machine interface (HMI) previously relied on a single perception interface that cannot realize three-dimensional (3D) interaction and convenient and accurate interaction in multiple scenes.
Jian-Dong Xu, Xi-Chao Tan, He Tian
exaly   +2 more sources

Design of Wheelchair based on Electrooculography

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
The number of disable people are increasing at a rapid rate, disability to control limbs due to accidents or inherently are major cause of immobility. Immobility hinders daily activities and leads to social restrictions which isolate them from the rest. Various techniques like mechanized wheelchair have been designed for quadriplegic people.
Konica Kuntal   +2 more
openaire   +3 more sources

Electrooculography by Wearable Graphene Textiles

IEEE Sensors Journal, 2018
Study of eye movements and measurement of the resulting biopotentials, referred to as electrooculography (EOG), may find increasing use in applications within the domain of personalized medicine provided that the limitations of conventional “wet” electrodes are addressed.
Ata Jedari Golparvar, Murat Kaya Yapici
openaire   +4 more sources

A two-stage framework for denoising electrooculography signals

Biomedical Signal Processing and Control, 2017
Abstract Denoising of electrooculography (EOG) signals is a challenging task as the noise and signal share the same frequency band. This paper proposes a two-stage framework for denoising EOG signals. The first stage approach is based on preserving the nature of eye movements while the second stage is based on the nature of noise (Gaussian or not ...
Anirban Dasgupta   +2 more
exaly   +3 more sources

eyeSay: Eye Electrooculography Decoding with Deep Learning

2021 IEEE International Conference on Consumer Electronics (ICCE), 2021
Consumer electronics that can decode eye movement-induced bio-potential will enable many practices, from voice-free communication, attention tracking, to virtual or augmented reality. We propose a novel deep learning-enabled approach for eye Electrooculography decoding, towards voice-free communication for patients with amyotrophic lateral sclerosis ...
Qingxue Zhang, Jiadao Zou
openaire   +3 more sources

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