China
Africa
Explore chapters and articles related to this topic
What Is Industry 5.0?
Published in Pau Loke Show, Kit Wayne Chew, Tau Chuan Ling, The Prospect of Industry 5.0 in Biomanufacturing, 2021
Omar Ashraf ElFar, Angela Paul A/p Peter, Kit Wayne Chew, Pau Loke Show
These data were obtained by the cobot by using functional near-infrared spectroscopy (fNIRS) over a wireless medium for the retrieval of signals from the human brain. It is a key tool that could be used to understand the human intentions. The functional near-infrared spectroscopy (fNIRS) is an essential function that does not require time-consuming setup, measuring adjustments, or reprogramming. The cobot depends on their data collaborated with advanced predictive technologies to help the human worker in their tasks. This would feel like another entity watching and attempting to support the human worker, which would increase the overall productivity with reduced uncertainties while processing. For instance, the cobot predicts that a certain component or tool in the next phase going to be used by the human operator. Therefore, the cobot gives an order to go and take the tool in advance, thus lends it in the appropriate time to the human worker.
Therapeutic Monitoring of Children with Attention Deficit Hyperactivity Disorder Using fNIRS Assessment
Published in Yu Chen, Babak Kateb, Neurophotonics and Brain Mapping, 2017
One promising approach is noninvasive functional neuroimaging in combination with neuropsychological testing. Functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging technique for the noninvasive monitoring of human brain activity. It utilizes the tight coupling between neural activity and regional cerebral hemodynamic changes with a high affinity for studying developing brains (Ferrari and Quaresima 2012, Lloyd-Fox et al. 2010, Minagawa-Kawai et al. 2008, Obrig and Villringer 2003, Strangman et al. 2002). fNIRS offers distinct advantages, such as its compactness, which makes it useful in confined experimental settings, affordable price, tolerance to body motion, and accessibility (Herrmann et al. 2005, Hock et al. 1997, Moriai-Izawa et al. 2012, Okamoto et al. 2004a,b, 2006, Strangman et al. 2002, Suto et al. 2004). These merits allow fNIRS to be contrasted with conventional imaging modalities such as single-photon emission computed tomography, positron emission tomography, magnetoencephalography, and functional magnetic resonance imaging (fMRI), which require large apparatuses and are susceptible to motion artifacts. Hence, we expect fNIRS to occupy a unique position among neuroimaging modalities to provide complementary usage most exemplified in clinical situations, such as a bedside setting, for diagnostic and treatment purposes (Suto et al. 2004).
Availability and Future Prospects of Functional Near-infrared Spectroscopy (fNIRS) in Usability Evaluation
Published in Kay M. Stanney, Kelly S. Hale, Advances in Cognitive Engineering and Neuroergonomics, 2012
Hiroaki Iwasaki, Hiroshi Hagiwara
Gaining a picture of human brain activity is becoming possible with the development of technologies such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) that allow non-invasive assessment of brain activity. However, the use of fMRI and PET technologies in usability assessments is limited as these devices are difficult to use when the subject is in a standing or sitting position, forcing the subject to be lying down during the assessment. Functional near-infrared spectroscopy (fNIRS) has attracted attention because it is possible to measure brain activity in a more natural state by using near-infrared light. We believe that fNIRS has potential to be used in usability assessments. This study was performed to assess the use of fNIRS to evaluate usability.
The Effect of Audiovisual Spatial Design on User Experience of Bare-Hand Interaction in VR
Published in International Journal of Human–Computer Interaction, 2023
Shiyi Zhang, Yan Liu, Fanghao Song, Dong Yu, Zhenming Bo, Zihan Zhang
BHI in VR is achieved with the HTC Vive headset and Leap Motion control sensors. Previous studies have commonly used subjective measures such as questionnaires and self-report to assess participants’ cognitive load, which are easy to operate but require participants to adopt an introspective approach to assess load levels and are prone to a level bias. Functional Near-infrared Spectroscopy (fNIRS) is a non-destructive detection technique that can monitor cognition in HCI (Scholkmann et al., 2014), and it has been widely used in VR HCI research in recent years for its advantages of low cost, real-time monitoring, portability and mobility. It was found that fNIRS can detect changes associated with the cognitive workload of the human brain (McKendrick et al., 2016), thus, obtaining real-time physiological data of the corresponding brain regions objectively. Hence, we assessed cognitive load by a combination of applying fNIRS and subjective cognitive load scale. Task time was automatically recorded by the experimental program and satisfaction was obtained by participant preference scores. For the experimental task, we chose a grasping task commonly found in practical applications of BHI and related scientific studies (Argelaguet et al., 2016; Fechter et al., 2022; Geiger et al., 2018; Vosinakis & Koutsabasis, 2018). Based on previous studies and our experience, we formulated the following hypotheses for Q1 and Q2.
Cortical processing during table tennis - an fNIRS study in experts and novices
Published in European Journal of Sport Science, 2022
Daniel Carius, Rouven Kenville, Dennis Maudrich, Jan Riechel, Hannes Lenz, Patrick Ragert
Functional near-infrared spectroscopy (fNIRS) is an optical imaging tool that enables the assessment of neural activation in naturalistic environments due to its mobile applicability.This study aimed to explore differences in brain processing as a function of expertise and task complexity in table tennis.Table tennis performance is accompanied by extensive activation of the primary motor cortex (M1), premotor cortex (PMC), and inferior parietal cortex (IPC).Combining behavioral and cortical results, we demonstrate significant correlations between the number of table tennis strokes and hemodynamic response magnitudes in individual channels of M1, PMC, and IPC
Use of functional near-infrared spectroscopy to quantify neurophysiological deficits after repetitive head impacts in adolescent athletes
Published in Sports Biomechanics, 2023
Divya Jain, Colin M. Huber, Declan A. Patton, Catherine C. McDonald, Lei Wang, Hasan Ayaz, Christina L. Master, Kristy B. Arbogast
Functional near-infrared spectroscopy (fNIRS) is a portable, non-invasive, optical neuroimaging technique that quantifies mean oxygenated haemoglobin concentration, a measure of cortical activation, in response to tasks and has high correlation with fMRI (Liu et al., 2017; Steinbrink et al., 2006). By placing the sensor on the forehead, fNIRS is able to directly measure oxygenation changes, and thus activation changes, in the prefrontal cortex, a region of the brain implicated in executive function and cognition (Ridderinkhof et al., 2004). fNIRS has detected subclinical deficits in concussed adolescents and young adults, thus providing a portable method for studying the effect of RHIE on neurological function in ecologically valid scenarios (Ayaz et al., 2018; Wu et al., 2018).