2021
DOI: 10.34133/2021/9821787
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Classifying Motion Intention of Step Length and Synchronous Walking Speed by Functional Near-Infrared Spectroscopy

Abstract: In some patients who have suffered an amputation or spinal cord injury, walking ability may be degraded or deteriorated. Helping these patients walk independently on their own initiative is of great significance. This paper proposes a method to identify subjects’ motion intention under different levels of step length and synchronous walking speed by using functional near-infrared spectroscopy technology. Thirty-one healthy subjects were recruited to walk under six given sets of gait parameters (small step with… Show more

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Cited by 7 publications
(4 citation statements)
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“…MI can be characterized by the event-related desynchronization/synchronization (ERD/ERS) that suppresses/enhances specific rhythms and now becomes one of the main paradigms in BCI (Guillot et al 2009, Vidaurre et al 2021. Since it has broad prospects in applications because of its independence of external stimuli, such as wheelchairs, cursors, and robotic hand control (Yu et al 2015, Irimia et al 2018, Zhang et al 2021, Zhu et al 2021.…”
Section: Introductionmentioning
confidence: 99%
“…MI can be characterized by the event-related desynchronization/synchronization (ERD/ERS) that suppresses/enhances specific rhythms and now becomes one of the main paradigms in BCI (Guillot et al 2009, Vidaurre et al 2021. Since it has broad prospects in applications because of its independence of external stimuli, such as wheelchairs, cursors, and robotic hand control (Yu et al 2015, Irimia et al 2018, Zhang et al 2021, Zhu et al 2021.…”
Section: Introductionmentioning
confidence: 99%
“…Operators tend to hone their skills over a period of time, making them more adaptable to various circumstances and enabling them to make decisions in a continuous and dynamic environment. Furthermore, research in the area of bionics and robotic prosthetics can aid humans to effectively participate in HRC in manufacturing environments [46,47]. However, robots require programming or teaching to handle unexpected situations [35].…”
Section: Potential Of Digital Twin and Human-robot Collaborationmentioning
confidence: 99%
“…A safe working environment for human operators is essential in HRC. This can be achieved by having feedback that gives an estimate of the approximate positions or the intentions of the operator by using machine learning and AI algorithms combined with non-invasive sensing methods [44,46,47,[140][141][142]. DT-HRC enables machine learning-based approaches to ensure safe HRC via simulation models without altering the physical environment [111].…”
Section: Safetymentioning
confidence: 99%
“…One widely used way to locate useful frequency bands in ECoG signals is brute force search. These decoders usually use Fourier transform or wavelet transforms to extract the power of certain frequency bands as the features and evaluate the features in a task-driven manner to select the effective narrow bands (Yanagisawa et al, 2011 ; Chestek et al, 2013 ; Bleichner et al, 2016 ; Branco et al, 2017 ; Li et al, 2017 ; Zhu et al, 2021 ; Qi et al, 2019 ). The other widely used way is using end-to-end decoders via deep learning technology.…”
Section: Introductionmentioning
confidence: 99%