Abstract
Preliminary results describing the relationship of the human arousal level with the amount and smoothness of their locomotion are reported in this paper. While there is a number of solid results indicating that in many cases arousal level may influence motor activities, measuring the strength, and modeling such relation remains relatively neglected area. The main weakness of the existing results is, that unlike the measurements of the arousal level which are described by the measured value of skin conductance, the locomotion parameters are determined on the basis of human observations and therefore contain certain degree of subjectiveness. Approach proposed in this paper targets to eliminate such subjectiveness. Trajectories of the limb joints will be recorded by the motion capture system. Amount and smoothness of the locomotion will be expressed by means of so-called motion mass parameters computed on the basis of recorded trajectories. Then relations between the arousal level and amount of locomotion will be studied.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Frederikson, M., Furmak, T., Olsson, M.T., Fisher, H., Andersson, J., Långström, B.: Functional neuroanatomical correlates of electrodermal activity: A positron emission tomographic study. Psychophysiology 35, 179–185 (1998)
MacIntosh, B.J., Mraz, R., McIlroy, W.E., Graham, S.J.: Brain activity during a motor learning task: An fmri and skin conductance study. Human Brain Mapping 28(12), 1359–1367 (2007)
Mochizuki, G., Hoque, T., Mraz, R., MacIntosh, B., Graham, S., Black, S., Staines, W., McIlroy, W.: Challenging the brain: Exploring the link between effort and cortical activation. Brain Research 1301, 9–19 (2009)
Günther, A., Bottai, M., Schandl, A., Storm, H., Rossi, P., Sackey, P.: Palmar skin conductance variability and the relation to stimulation, pain and the motor activity assessment scale in intensive care unit patients. Critical Care 17(2), 1–7 (2013)
Helander, M.: Applicability of drivers’ electrodermal response to the design of the traffic environment. Journal of Applied Psychology 63(4), 481–488 (1978)
Roy, J., North Atlantic Treaty Organization. Scientific Affairs Division: Progress in electrodermal research. NATO ASI series: Life sciences. Plenum Press (1993)
Alvarsson, J.J., Wiens, S., Nilsson, M.E.: Stress recovery during exposure to nature sound and environmental noise. International Journal of Environmental Research and Public Health 7(3), 1036–1046 (2010)
Boucsein, W.: Electrodermal Activity. The Springer series in behavioral psychophysiology and medicine. Springer (2012)
Nõmm, S., Toomela, A.: An alternative approach to measure quantity and smoothness of the human limb motions. Estonian Journal of Engineering 19(4), 298–308 (2013)
Anokhin, P.K.: Ocherki po fiziologii funktsionalnykh sistem. Medicina, Moskow (1975) (in Russian)
Toomela, A.: Biological roots of foresight and mental time travel. Integrative Psychological and Behavioral Science 44(2), 97–125 (2010)
Lauria, A.: Vyshije korkovyje funktsii tsheloveka i ikh narushenija pri lokal’nykh porazenijakh mozga (Higher cortical functions in man and their disturbances in local brain lesions). Moscow University Press, Moscow (1969) (in Russian)
Nomm, S., Buhhalko, K.: Monitoring of the human motor functions rehabilitation by neural networks based system with kinect sensor. In: Proc. of the 12th IFAC Symposium, Analysis, Design, and Evaluation of Human-Machine Systems, Las-Vegas, Nevada, USA, pp. 249–253 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Nõmm, S., Kõnnusaar, T., Toomela, A. (2014). Towards Establishing Relationships between Human Arousal Level and Motion Mass. In: Loo, C.K., Yap, K.S., Wong, K.W., Teoh, A., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8834. Springer, Cham. https://doi.org/10.1007/978-3-319-12637-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-12637-1_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12636-4
Online ISBN: 978-3-319-12637-1
eBook Packages: Computer ScienceComputer Science (R0)