Soft bioelectronics based on nanomaterials

KW Cho, SH Sunwoo, YJ Hong, JH Koo… - Chemical …, 2021 - ACS Publications
Recent advances in nanostructured materials and unconventional device designs have
transformed the bioelectronics from a rigid and bulky form into a soft and ultrathin form and …

Nanowire‐based soft wearable human–machine interfaces for future virtual and augmented reality applications

K Wang, LW Yap, S Gong, R Wang… - Advanced Functional …, 2021 - Wiley Online Library
A virtual world has now become a reality as augmented reality (AR) and virtual reality (VR)
technology become commercially available. Similar to how humans interact with the …

A review on human-computer interaction and intelligent robots

F Ren, Y Bao - International Journal of Information Technology & …, 2020 - World Scientific
In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Integrated memristor network for physiological signal processing

L Cai, L Yu, W Yue, Y Zhu, Z Yang, Y Li… - Advanced Electronic …, 2023 - Wiley Online Library
Humans are complex organisms made by millions of physiological systems. Therefore,
physiological activities can represent physical or mental states of the human body …

Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems

F Fang, T Shinozaki - PloS one, 2018 - journals.plos.org
Human-computer interface systems whose input is based on eye movements can serve as a
means of communication for patients with locked-in syndrome. Eye-writing is one such …

Development of a real-time eye movement-based computer interface for communication with improved accuracy for disabled people under natural head movements

GR Chhimpa, A Kumar, S Garhwal, Dhiraj - Journal of Real-Time Image …, 2023 - Springer
In recent years, the scarcity of effective communication systems has been an essential issue
for disabled people [physically disabled, locomotor disability, and amyotrophic lateral …

Novel hybrid brain-computer interface for virtual reality applications using steady-state visual-evoked potential-based brain–computer interface and electrooculogram …

J Ha, S Park, CH Im - Frontiers in neuroinformatics, 2022 - frontiersin.org
Brain–computer interfaces (BCIs) based on electroencephalogram (EEG) have recently
attracted increasing attention in virtual reality (VR) applications as a promising tool for …

A novel approach for detection of dyslexia using convolutional neural network with EOG signals

R Ileri, F Latifoğlu, E Demirci - Medical & Biological Engineering & …, 2022 - Springer
Dyslexia is a learning disability in acquiring reading skills, even though the individual has
the appropriate learning opportunity, adequate education, and appropriate sociocultural …

Human–machine interface: multiclass classification by machine learning on 1D EOG Signals for the Control of an Omnidirectional Robot

FD Pérez-Reynoso, L Rodríguez-Guerrero… - Sensors, 2021 - mdpi.com
People with severe disabilities require assistance to perform their routine activities; a Human–
Machine Interface (HMI) will allow them to activate devices that respond according to their …

Design and development of human computer interface using electrooculogram with deep learning

G Teng, Y He, H Zhao, D Liu, J Xiao… - Artificial intelligence in …, 2020 - Elsevier
Today's life assistive devices were playing significant role in our life to communicate with
others. In that modality Human Computer Interface (HCI) based Electrooculogram (EOG) …