Direct-sense brain–computer interfaces and wearable computers
Brain-computer interfaces (BCIs) allow users to communicate directly with external devices
via their brain signals. Recently, BCIs, and wearable computers in particular, have been …
via their brain signals. Recently, BCIs, and wearable computers in particular, have been …
Autonomous system for EEG-based multiple abnormal mental states classification using hybrid deep neural networks under flight environment
Detection of the pilots' mental states is particularly critical because their abnormal mental
states (AbSs) could cause catastrophic accidents. In this study, we presented the feasibility …
states (AbSs) could cause catastrophic accidents. In this study, we presented the feasibility …
FDAN: Fuzzy deep attention networks for driver behavior recognition
W Xiao, G Xie, H Liu, W Chen, R Li - Journal of Systems Architecture, 2024 - Elsevier
Driver behavior is an essential factor affecting traffic safety, and driver behavior monitoring
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …
Effects of multisensory distractor interference on attentional driving
Distracted driving refers to multisensory integration and attention shifts between attentional
driving and different interferences from different modalities, including visual and auditory …
driving and different interferences from different modalities, including visual and auditory …
Exploring covert states of brain dynamics via fuzzy inference encoding
Human brain inherently exhibits latent mental processes which are likely to change rapidly
over time. A framework that adopts a fuzzy inference system is proposed to model the …
over time. A framework that adopts a fuzzy inference system is proposed to model the …
Increase in brain effective connectivity in multitasking but not in a high-fatigue state
Multitasking has become omnipresent in daily activities and increased brain connectivity
under high workload conditions has been reported. Moreover, the effect of fatigue on neural …
under high workload conditions has been reported. Moreover, the effect of fatigue on neural …
Innovative Framework for Distracted-Driving Alert System Based on Deep Learning
PW Lin, CM Hsu - IEEE Access, 2022 - ieeexplore.ieee.org
Distracted driving is the most common cause of traffic accidents. According to a World Health
Organization report, the number of traffic accidents has been increasing in recent years. To …
Organization report, the number of traffic accidents has been increasing in recent years. To …
Classification of distraction levels using hybrid deep neural networks from EEG signals
Non-invasive brain-computer interface technology has been developed for detecting human
mental states with high performances. Detection of the pilots' mental states is particularly …
mental states with high performances. Detection of the pilots' mental states is particularly …
Decoding EEG–based Workload Levels Using Spatio–temporal Features Under Flight Environment
The detection of pilots' mental states is important due to the potential for their abnormal
mental states to result in catastrophic accidents. This study introduces the feasibility of …
mental states to result in catastrophic accidents. This study introduces the feasibility of …
Integrated Sensing Devices for Brain-Computer Interfaces
Brain-computer interfaces (BCI) help users to interact with machines via brain activity and
without the use of muscles. Among the many components of BCI frameworks, sensor …
without the use of muscles. Among the many components of BCI frameworks, sensor …