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| 3. |
- Arheden, Håkan, et al.
(author)
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Allmän cirkulation
- 2005
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In: Klinisk fysiologi : med nuklearmedicin och klinisk neurofysiologi. - 9147052449 ; , s. 101-101
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Book chapter (other academic/artistic)
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| 4. |
- Arheden, Håkan, et al.
(author)
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Hjärtat
- 2005
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In: Klinisk fysiologi med nuklearmedicin och klinisk neurofysiologi. - 9789147052448 ; , s. 145-145
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Book chapter (other academic/artistic)
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| 5. |
- Ehrsson, HH, et al.
(author)
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Cortical activity in precision- versus power-grip tasks: an fMRI study
- 2000
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In: Journal of neurophysiology. - : American Physiological Society. - 0022-3077 .- 1522-1598. ; 83:1, s. 528-536
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Journal article (peer-reviewed)abstract
- Most manual grips can be divided in precision and power grips on the basis of phylogenetic and functional considerations. We used functional magnetic resonance imaging to compare human brain activity during force production by the right hand when subjects used a precision grip and a power grip. During the precision-grip task, subjects applied fine grip forces between the tips of the index finger and the thumb. During the power-grip task, subjects squeezed a cylindrical object using all digits in a palmar opposition grasp. The activity recorded in the primary sensory and motor cortex contralateral to the operating hand was higher when the power grip was applied than when subjects applied force with a precision grip. In contrast, the activity in the ipsilateral ventral premotor area, the rostral cingulate motor area, and at several locations in the posterior parietal and prefrontal cortices was stronger while making the precision grip than during the power grip. The power grip was associated predominately with contralateral left-sided activity, whereas the precision-grip task involved extensive activations in both hemispheres. Thus our findings indicate that in addition to the primary motor cortex, premotor and parietal areas are important for control of fingertip forces during precision grip. Moreover, the ipsilateral hemisphere appears to be strongly engaged in the control of precision-grip tasks performed with the right hand.
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| 8. |
- McGlone, Francis, et al.
(author)
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Functional neuroimaging studies of human somatosensory cortex
- 2002
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In: Behavioural Brain Research. - : Elsevier. - 0166-4328 .- 1872-7549. ; 135:1-2, s. 147-158, PII S0166-4328(02)00144-4
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Journal article (peer-reviewed)abstract
- Two studies were carried out to assess the applicability of echoplanar fMRI at 3.0 T to the analysis of somatosensory mechanisms in humans. Vibrotactile stimulation of the tips of digits two and five reliably generated significant clusters of activation in primary (SI) and secondary (SII) somatosensory cortex, area 43, the pre-central gyrus, posterior insula, posterior parietal cortex and posterior cingulate. Separation of these responses by digit in SI was possible in all subjects and the activation sites reflected the known lateral position of the representation of digit 2 relative to that of digit 5. A second study employed microneurographic techniques in which individual median-nerve mechanoreceptive afferents were isolated, physiologically characterized, and microstimulated in conjunction with fMRI. Hemodynamic responses, observed in every case, were robust, focal, and physiologically orderly. These techniques will enable more detailed studies of the representation of the body surface in human somatosensory cortex, the relationship of that organization to short-term plasticity in responses to natural tactile stimuli, and effects of stimulus patterning and unimodal/cross-modal attentional manipulations. They also present unique opportunities to investigate the basic physiology of the BOLD effect, and to optimize the operating characteristics of two important human functional neuroimaging modalities-high-field fMRI and high-resolution EEG-in an unusually specific and well-characterized neurophysiological setting.
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| 10. |
- Söderström, Ulrik, 1978-, et al.
(author)
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Toward emotional recognition during HCI using marker-based automated video tracking
- 2019
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In: Proceedings of the 31st european conference on cognitive ergonomics. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 49-52, s. 49-52
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Conference paper (peer-reviewed)abstract
- Postural movement of a seated person, as determined by lateral aspect video analysis, can be used to estimate learning-relevant emotions. In this article the motion of a person interacting with a computer is automatically extracted from a video by detecting the position of motion-tracking markers on the person’s body. The detection is done by detecting candidate areas for marker with a Convolutional Neural Network and the correct candidate areas are found by template matching. Several markers are detected in more than 99 % of the video frames while one is detected in only approximate to 80,2 % of the frames. The template matching can also detect the correct template in approximate to 80 of the frames. This means that almost always when the correct candidates are extracted, the template matching is successful. Suggestions for how the performance can be improved are given along with possible use of the marker positions for estimating sagittal plane motion.
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