Relevant bibliographies by topics / Galvanic skin response test

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Academic literature on the topic 'Galvanic skin response test'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Galvanic skin response test"

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Tuzemen, Gokhan, Oguz Basut, Omer Afsin Ozmen, and Hamdi Hakan Coskun. "Galvanic Skin Response Test." Journal of Craniofacial Surgery 24, no. 4 (July 2013): 1280–84. http://dx.doi.org/10.1097/scs.0b013e318286038d.

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Dolce, G., F. Riganello, M. Quintieri, A. Candelieri, and D. Conforti. "Personal Interaction in the Vegetative State." Journal of Psychophysiology 22, no. 3 (January 2008): 150–56. http://dx.doi.org/10.1027/0269-8803.22.3.150.

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Background and purpose: Brain processing at varying levels of functional complexity and emotional reactions to relatives are anecdotally reported by the caregivers of patients in a vegetative state. In this study, computer-assisted machine-learning procedures were applied to identify heart rate variability changes or galvanic skin responses to a relative’s presence. Methods: The skin conductance (galvanic skin response) and heart beats were continuously recorded in 12 patients in a vegetative state, at rest (baseline) and while approached by a relative (usually the mother; test condition) or by a nonfamiliar person (control condition). The cardiotachogram (the series of consecutive intervals between heart beats) was analyzed in the time and frequency domains by computing the parametric and nonparametric frequency spectra. A machine-learning algorithm was applied to sort out the significant spectral parameter(s). For all patients, each condition (baseline, test, control) was characterized by the values of its spectral parameters, and the association between spectral parameters values and experimental condition was tested (WEKA machine-learning software). Results and comments: A galvanic skin response was obtained in two patients. The machine-learning procedure independently selected the nu_LF spectral parameter and attributed each nu_LF measure to any of the three experimental conditions. 69.4% of attributions were correct (baseline: 58%; test condition: 75%; control. 75%). In seven patients, attribution changed when the subject was approached by the test person; specifically, sequential shifts from baseline to test condition (“the Mom effect”) to control condition were identified in four patients (30.0%); the change from test to control was attributed correctly in seven patients (58%). The observation of heart rate changes tentatively attributable to emotional reaction in a vegetative state suggest residual rudimentary personal interaction, consistent with functioning limbic and paralimbic systems after massive brain damage. Machine-learning proved applicable to sort significant measure(s) out of large samples and to control for statistical alpha inflation.
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Shivakumar, G., and P. A. Vijaya. "Analysis of Human Emotions Using Galvanic Skin Response and Finger Tip Temperature." International Journal of Synthetic Emotions 2, no. 1 (January 2011): 15–25. http://dx.doi.org/10.4018/jse.2011010102.

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Emotion is the excited mental state of a person caused by internal and external factors. In this work, a person’s physiological parameters are measured to decide emotional status. A generalized system measures changes occurring in the body of a subject, such as heart rate, blood pressure, respiratory rate, electro-dermal (Galvanic skin resistance) activity, and arm and leg motions. These measurements are then compared with the normal levels of the subject. The present work monitors the physiological parameters by connecting sensors at specific points on a test body. Two physiological parameters are considered: galvanic skin response (GSR) and finger tip temperature (FTT). The heart rate is predominant in deciding the emotion of a person. This system, in conjunction with a certified examiner, is used to analyze a subject’s stress. A system is constructed that measures physiological parameters along with signal conditioning units. These measurements are transmitted to a LabVIEW add-on card for further data processing and analysis. LabVIEW is a graphical programming language that includes all tools necessary for data acquisition, data analysis, and presentation of results. The results obtained are realistic and provide a measure of accuracy.
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Sanchez-Comas, Andres, Kåre Synnes, Diego Molina-Estren, Alexander Troncoso-Palacio, and Zhoe Comas-González. "Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli." Sensors 21, no. 12 (June 19, 2021): 4210. http://dx.doi.org/10.3390/s21124210.

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The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.
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Kumar, Mahendra, Priyamvada Srivastava, Manoj K. Sahu, and Saparya Tripathi. "Effect of computerized biofeedback relaxation on stress related physiological parameters." International Journal Of Community Medicine And Public Health 8, no. 6 (May 25, 2021): 2977. http://dx.doi.org/10.18203/2394-6040.ijcmph20212003.

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Background: Mental health diseases such as insomnia, anxiety, stress and depression all have a close relationship with the autonomic nervous system. The physiological parameters of autonomic activity viz. galvanic skin resistance, electromyography, respiration and pulse rate can be regulated with the help of computerized biofeedback relaxation training. The main objective of this study was to see the effect of computerized biofeedback relaxation training on psychophysiological parameters of autonomic activity.Methods: In the present study 40 high stress post graduate students were selected. All participants were randomly divided into two group i.e. computerized biofeedback relaxation training (group-1) and placebo group (group-2). Forehead muscle tension, respiration rate, pulse rate and galvanic skin resistance were assessed, and inventories measuring stress were administered pre-randomization. Descriptive, Paired sample ‘t’ test, F-test and Mann-Whitney U test were used to analyze the data with the help of SPSS 16 version.Results: Biofeedback group reported a significant change in muscle tension (p=0.27), respiration rate (p=0.01) and galvanic skin response (p=0.35) after relaxation but at the same time control group reported moderate increase in muscle tension. Additionally, the computerized biofeedback group was able to maintain the stress level while the control group had a significant increase in the stress level over the 10 days of relaxation training.Conclusions: Biofeedback relaxation useful alternative therapy for management of stress and emotional disturbance in graduate students. During a stressful period this may also be helpful to promote overall psychological health.
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Demirci, Ugur, Oguz Basut, Behzat Noyan, Uygar Levent Demir, O. Afsin Ozmen, Fikret Kasapoglu, H. Hakan Coskun, and Selcuk Onart. "The Efficiacy of Sternocleidomastoid Muscle Flap on Frey’s Syndrome via a Novel Test: Galvanic Skin Response." Indian Journal of Otolaryngology and Head & Neck Surgery 66, S1 (January 31, 2012): 291–98. http://dx.doi.org/10.1007/s12070-012-0492-y.

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Konovalov, V. F., and I. S. Serikov. "Characteristics of the galvanic skin response and electrocardiogram in active and passive subjects under test conditions." Human Physiology 32, no. 5 (October 2006): 578–83. http://dx.doi.org/10.1134/s0362119706050124.

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Dogan, Daghan, Seta Bogosyan, and Tankut Acarman. "Evaluation of driver stress level with survey, galvanic skin response sensor data, and force-sensing resistor data." Advances in Mechanical Engineering 11, no. 12 (December 2019): 168781401989155. http://dx.doi.org/10.1177/1687814019891555.

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Thousands of lives are lost in traffic accidents every year, and most traffic accidents are caused by driver errors. Causes and impairments such as fatigue, inattentiveness, alcohol usage, stress, and drugs are the main factors of these accidents. When a driver is subject to changing and complicated driving tasks in traffic, he or she should be able to assure driving authority to prevent potential hazards and accidents. In this context, the purpose of this study is to determine the stress level of the driver when driving in urban traffic in such situations requiring delegation of driving authority. Thus, the work combines stress questionnaire and galvanic skin response sensor to validate results and fuses with a force-sensing resistor. In this study, a prototype electric vehicle is equipped with sensors providing various drivers’ data including the responses of a force-sensing resistor sensor while galvanic skin is being collected on a specified route. At the end of the trip, the stress level of the drivers is determined by the collected data. Results indicate that the galvanic skin sensor stress results are consistent with the results of the survey with an average accuracy of 87.5%. The force-sensing resistor sensor is only used to determine gender stress. And the force-sensing resistor sensor gender-stress results are consistent with results of the survey with an accuracy of 100%. These results are used to validate the results of post-driving stress survey evaluated by SPSS 23.0 windows statistics software. Data analysis is particularly focused on demographic properties of participators, factor analysis, reliability tests, correlation, T-test, and one-way analysis of variance.
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Sepehri, Shiva, Mohsen Aliabadi, Rostam Golmohammadi, and Mohammad Babamiri. "Human cognitive functions and psycho-physiological responses under low thermal conditions in a simulated office environment." Work 69, no. 1 (May 26, 2021): 197–207. http://dx.doi.org/10.3233/wor-213469.

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BACKGROUND: In office environments, thermal comfort is one of the most significant factor affecting employees’ performance. OBJECTIVE: This study aimed to determine the effects of exposure to low air temperatures on human cognitive performance, physiological responses, and thermal perceptions during mental work. METHODS: Twenty-four volunteers with an age range of 18–30 years participated in this study. The subjects were exposed to four different air temperatures (10, 14, 18, and 22°C) in a climate chamber based on a within-subject design. The n-back, CPT, and PVT tests were employed to evaluate some basic aspects of cognitive performance. Body physiological responses and the subjective thermal comfort were also measured. RESULTS: When the thermal condition deviated from relatively neutral temperature, the subjects’ cognitive responses significantly disturbed (P < 0.05), such that the response accuracy was more affected by reduction of air temperature. The blood pressures and heart rate, galvanic skin response, and respiration rate increased as the air temperature decreased (P < 0.05), such that the galvanic skin response as a stress indicator was more affected. In the test configurations, as a result of decrease in air temperature of 1°C, the finger and body skin temperatures reduced to 0.74°C and 0.25°C, respectively. CONCLUSIONS: The findings confirmed that low thermal condition can considerably affect cognitive performance and physiological responses during some office work tasks. The subjects’ thermal comfort votes proposed that air temperature lower than 14 °C can be intolerable for employees during routine mental work. It is suggested that personalized conditioning systems should be used to provide individual thermal comfort in moderate cold air conditions.
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Schell, Dennis, and Carol Seefeldt. "Development of a Death Anxiety Scale for Children." OMEGA - Journal of Death and Dying 23, no. 3 (November 1991): 227–34. http://dx.doi.org/10.2190/nyj6-5q3q-mh4m-7787.

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The purpose of this study was to develop a valid, reliable, and efficient instrument that could be used to explore children's responses to death and dying. A rating scale consisting of neutral and anxiety producing words was constructed; scale construction consisted of a number of steps. Test/retest reliability of the scale was assessed as .87 for death words and .79 for neutral words using Cronbach's alpha. Validity was established by reading the words to children between the ages of five and twelve and recording galvanic skin response, response time, and pulse rate. Children responded with greater skin resistance to death words, than to the neural words ( t(154) = −1.93, p < .06) leading to the conclusion that the Death Anxiety Scale for Children (DASC) was a valid, reliable, and efficient measure of children's death anxiety.
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Dissertations / Theses on the topic "Galvanic skin response test"

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Mundell, Lee Carter. "Predicting performance using galvanic skin response." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105086.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 49-52).
The rapid growth of the availability of wearable biosensors has created the opportunity for using physiological signals to measure worker performance. An important question is how to use such signals to not just measure, but actually predict worker performance on a task under stressful and potentially high risk conditions. Here we show that the biological signal known as galvanic skin response (GSR) allows such a prediction. We conduct an experiment where subjects answer arithmetic questions under low and high stress conditions while having their GSR monitored. Using only the GSR measured under low stress conditions, we are able to predict which subjects will perform well under high stress conditions with a median accuracy of 75%. If we try to make similar predictions without using any biometric signals, the median accuracy is 50%. Our results suggest that performance in high stress conditions can be predicted using signals obtained from GSR sensors in low stress conditions.
by Lee Carter Mundell.
S.M.
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Nagai, Yōko. "Electrophysiological analysis of Galvanic Skin Response (GSR) biofeedback and its clinical application on epilepsy." Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271291.

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Spitler, Kevin M. "The Role of the Monkey Amygdala in the Autonomic Expression of Emotion." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194823.

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The skin conductance response is involved in the preparation for and response to stimuli with emotional significance. The neural mechanisms responsible for the generation of the skin conductance response are not well understood despite the common use of this signal as an index of emotional response. Data from anatomical, lesion, and neuroimaging studies in humans suggest that the amygdala, a component of the brain circuit for emotion, plays a critical role in the generation of the skin conductance response. Here we employ a novel combination of existing techniques to understand the stimuli that elicit skin conductance responses in the monkey and the neural mechanisms in the amygdala that participate in its generation. We recorded skin conductance responses in monkeys trained to perform a passive image viewing task. This paradigm is a staple of human emotion research but to date has not been adapted to the monkey. In addition, skin conductance responses to these stimuli were recorded in conjunction with single unit responses from the amygdala. This study addresses the relationship between the activity of single neurons recorded from identified nuclei of the monkey amygdala and autonomic responses. Neurons in multiple nuclei of the amygdala showed reliable changes in neuronal discharge prior to the skin conductance response. These neurons were primarily in the dorsal nuclei of the amygdala, which confirms predictions made from anatomical and neuroimaging data. It is suggested that these changes in neuronal discharge may correspond to the generation of this autonomic component of the expression of emotion.
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Lochner, Georg Philip. "The voltage-current characteristic of the human skin." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-09212005-093111/.

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Negrao, Bianca Lee. "Autonomic correlates at rest and during evoked attention in children with attention-deficit/hyperactivity disorder and effects of sympathomimetic medication." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-07072009-163036/.

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Carr, Vaughan. "Electrodermal indices of information processing and functional cerebral asymmetry in schizophrenia : a comparison with affective disorder /." Title page, table of contents and summary only, 1987. http://web4.library.adelaide.edu.au/theses/09MD/09mdc312.pdf.

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Horley, R. Kaye. "Fear of faces a psychophysiological investigation of facial affect processing in social phobia /." Access electronically, 2004. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050922.141835/index.html.

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Kessler, Jeffrey C. (Jeffrey Charles). "Physiological Effects of Monetary Consequences." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278141/.

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Electrodermal responding (EDR) and heart rate (HR) were assessed for seven subjects participating in a reaction time task consequated with monetary bonuses (250, 100, and 10), monetary penalties (250,100, and 10), and a monetary neutral value (00). Unlike previous research employing group designs and a tonic measure (i.e., mean over long periods of time), this study utilized a single-subject design and a phasic measure (i.e., mean over 2-s intervals). Heart rate data was too variable for meaningful analysis. EDR data showed that the peak levels of EDR were higher for penalties than for the corresponding values of bonuses (e.g., -250 vs. +250) for most subjects. Similarly, peak levels of EDR were generally higher during sessions in which consequences were presented than in sessions during which consequences were absent.
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Reeder, Matthew, and res cand@acu edu au. "The Emotional Congruence of Experience and Bodily Change." Australian Catholic University. School of Psychology, 2001. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp10.09042006.

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This study examined the association of the experience of emotion and somatic changes. The study compared reported somatic changes generally experienced when anxious with the actual association of the experience of emotion and somatic changes as measured during a specific event. Emotions were measured as both general negative emotion as well as specific emotions: anger, disgust, fear, sadness and shame. Participants were volunteers from a Victorian university who agreed to watch a video depicting the dramatisation of child abuse. Throughout the video, participants indicated their experience of emotion. Measures were also taken throughout the procedure of facial expression and Galvanic Skin Response (GSR). In order to examine emotional-congruence, subjects were divided into three groups. These groups were divided according to the congruence of subjects’ experienced emotion with autonomic changes and facial expressivity. Groups were divided separately for each of the emotion types. Where there was little difference between the reported experience of emotion and that, which would have been expected from the observed somatic changes, the subject was deemed to be in the Congruent Group. Subjects whose reported experience of emotion was greater or less than would be expected from observed somatic changes were allocated to the Over-reporter and Under-Reporter Groups respectively. This data was then compared to participants’ reports of the number of somatic symptoms usually experienced when anxious. It was found that participants who under-report the experience of general negative-emotion compared with their observed somatic changes (both GSR and facial expressivity) had lower trait-somatic-anxiety (reported fewer somatic symptoms usually experienced when anxious). There was no significant difference between the Congruent Group and Over-Reporter Group. The Under-Reporter Groups had significantly lower trait-somatic-anxiety than the Congruent Group when emotional-congruence was defined by fear and GSR, anger and GSR and sadness and facial expressivity. The actual association of shame and disgust with either somatic change, sadness with autonomic change and anger and fear with facial expressivity was unrelated to the number of somatic symptoms reported to be usually experienced when anxious. The results supported the idea that subjective reports of the number of somatic symptoms reported to be usually experienced when anxious reflect the actual association of somatic change and experience, but with limitations. The actual association of experience of fear with autonomic change seems to reflect the number of somatic symptoms reported to be usually experienced when anxious more than other emotions. Further for those for whom the experience of anger and negative-emotion has a greater association with somatic change, there was a greater number of somatic symptoms reported to be usually experienced when anxious. This would suggest that some people have a greater association of some experiences of emotion and somatic change. Furthermore, while there is an association between reported somatic changes generally experienced when anxious with the actual association of the experience of emotion and somatic changes as measured during a specific event, this was dependant on the association of the emotion types rather than being generalised for all emotions.
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Brandt, Bryan. "An Examination of Electrodermal Activity During Tic Suppression in Adults." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/4990.

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Although tic disorders are diagnosed as neurological disorders, neurobehavioral models suggest that tics are controlled by premonitory urges that may be conditioned to become aversive through childhood, and that tics are exhibited to alleviate such phenomena. However, only indirect measures have been used to assess the presence of the premonitory urge. This study utilized self-report and GSR measurements to examine whether a punishing contingency conditioned stimuli to be aversive during conditions of tic suppression and whether punishing contingencies exacerbate aversive private phenomena in two adults. Results indicated that conditions of response cost (RC) and differential reinforcement (DRO) were effective at reducing the number of tics compared to baseline. Moreover, GSR was unrelated to urge and suppression conditions despite higher self-reported urge ratings in DRO and RC conditions. Implications of findings are discussed.
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Books on the topic "Galvanic skin response test"

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Boucsein, Wolfram. Electrodermal activity. New York: Plenum Press, 1992.

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Geras, Gościmierz. Psychologiczno-medyczna diagnostyka elektroskórna. Gdańsk: Wydawn. Uniwersytetu Gdańskiego, 1996.

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Vossel, Gerhard. Elektrodermale Labilität: Ein Beitrag zur differentiellen Psychophysiologie. Göttingen, Germany: Verlag für Psychologie Hogrefe, 1990.

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Aldersons, A. A. Mekhanizmy ėlektrodermalʹnykh reakt͡s︡iĭ. Riga: "Zinatne", 1985.

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Geras, Gościmierz. Elektrodermometria w psychologii i medycynie. 2nd ed. Gdańsk: Uniwersytet Gdański, 1987.

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Boucsein, Wolfram. Electrodermal activity. 2nd ed. New York: Springer, 2012.

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Die Zahl der aktiven Schweissdrüssen (PSI, palmar sweat index) als Aktivierungsparameter in Labor- und Feldstudien: Untersuchungen mit der plastic finger print-Methode. Frankfurt am Main: P. Lang, 1992.

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Burke, David P. Real -time Processing of Biological Signals to Provide Multimedia Biofeedback as an Aid to Relaxation Therapy. Dublin: University College Dublin, 1998.

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Hemisphärenunterschiede, Emotion und bilaterale elektrodermale Aktivität: Experimentelle Untersuchungen zur Lateralisation emotionsbegleitender elektrodermaler Reaktion. Frankfurt am Main: P. Lang, 1995.

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Sosnowski, Tytus. Wzorce aktywności psychofizjologicznej w warunkach krótkotrwałego stresu antycypacyjnego: Analiza zmian aktywności elektrodermalnej i szybkości pracy serca. Wrocław: Zakład Narodowy im. Ossolińskich, Wydawn. Polskiej Akademii Nauk, 1991.

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Book chapters on the topic "Galvanic skin response test"

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Galik, Elizabeth, Shin Fukudo, Yukari Tanaka, Yori Gidron, Tavis S. Campbell, Jillian A. Johnson, Kristin A. Zernicke, et al. "Galvanic Skin Response." In Encyclopedia of Behavioral Medicine, 829. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1668.

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Chen, Fang, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, and Dan Conway. "Galvanic Skin Response-Based Measures." In Robust Multimodal Cognitive Load Measurement, 87–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31700-7_5.

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Westerink, Joyce H. D. M., Egon L. van den Broek, Marleen H. Schut, Jan van Herk, and Kees Tuinenbreijer. "Computing Emotion Awareness Through Galvanic Skin Response and Facial Electromyography." In Probing Experience, 149–62. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6593-4_14.

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Huang, Tao, Jiping Xiong, and Lifeng Xuan. "Design and Implementation of a Wireless Healthcare System Based on Galvanic Skin Response." In Communications in Computer and Information Science, 337–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23220-6_43.

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Dehzangi, Omid, and Vikas Rajendra. "Wearable Galvanic Skin Response for Characterization and Identification of Distraction During Naturalistic Driving." In Internet of Things, 15–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02819-0_2.

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Gao, Renshang, Atiqul Islam, Tom Gedeon, and Md Zakir Hossain. "Identifying Real and Posed Smiles from Observers’ Galvanic Skin Response and Blood Volume Pulse." In Neural Information Processing, 375–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63830-6_32.

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Freivalds, Andris, and Shubo Lyu. "Body Balance Estimation in Standing and Walking Conditions Using Inertial Measurement Units and Galvanic Skin Response." In Advances in Intelligent Systems and Computing, 9–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96098-2_2.

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Jo, Geumbi, Seunggeon Lee, and Eui Chul Lee. "A Study on the Possibility of Measuring the Non-contact Galvanic Skin Response Based on Near-Infrared Imaging." In Intelligent Human Computer Interaction, 110–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68449-5_12.

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Sut Txi, Mon Redee, Hairul Anuar Hashim, and Oleksandr Krasilshchikov. "The Effects of Integrating Biofeedback Training into a 12-Week Periodized Training Program on Galvanic Skin Response and Anxiety Level Among Junior Archers." In Enhancing Health and Sports Performance by Design, 528–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3270-2_54.

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"Galvanic Skin Response (GSR)." In Encyclopedia of Personality and Individual Differences, 1735. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_301022.

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Conference papers on the topic "Galvanic skin response test"

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Khawaji, Ahmad, Jianlong Zhou, Fang Chen, and Nadine Marcus. "Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732766.

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Akkara, Jisha, Anitha Jacob, Subaida E A, Dona Joy, and Sreelakshmi K S. "Effect of Two Lane Non-Urban Highway Geometry on Workload Profile of Drivers." In International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.63.

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Transportation engineers play an important role to achieve zero- crash vision of the Government. The onus for occurrence of road crashes at under-designed and poorly constructed roads lies on the shoulders of transportation engineers. To ensure safe and comfortable driving, it is essential and necessary to evaluate the geometric design of roads, especially highways, from the perspective of the vehicle drivers. If the road is of consistent design, the driver can achieve smooth and safe driving. Inconsistent design of roads can confuse a driver and it may lead to unnecessary speed changes and even may result in unfavourable level of crashes. This paper attempts to study how the highway geometry affects the driver workload at horizontal curves and curves with gradient on two lane non-urban highways. The driver workload is assessed by measuring variations in physiological conditions of subject driver while driving in a test car under real field conditions. Heart rate (HR) and galvanic skin response (GSR) of drivers are continuously recorded using sensors attached to the driver’s ear and fingers respectively to develop a continuous profile of driver workload at varying highway geometry. The variations in heart rate from tangent sections to succeeding curve sections are determined to understand the effect of curve geometry on heart rate. The geometrical data such as radius of curvature, superelevation, sight distance, gradient and tangent length are collected from the selected study stretches. The study revealed that the inconsistent design of roads leads to large variations in heart rate and galvanic skin response. Consequently, crash frequency is found to be higher at such locations. The outcome of the study will help highway designers to design safer roads. The outcome of the study throws light on safety evaluation of highway geometry and will be helpful in developing tools and guidelines for designing safer roads.
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Hu, Wan-Lin, Joran Booth, and Tahira Reid. "Reducing Sketch Inhibition During Concept Generation: Psychophysiological Evidence of the Effect of Interventions." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47669.

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This research investigated the effect of warm-up activities on cognitive states during concept generation. Psychophysiological tools including electroencephalography (EEG) and galvanic skin response (GSR) were used along with self-report measures (NASA TLX). Participants were divided into 3 test conditions: 1) no warm-up activity; 2) simple warm-up activities; 3) sketch-inhibition reducing activities. All participants did the same short design task. Results show that those who did a warm-up prior to ideation had a decrease in stress, especially for those who were personally familiar with the design problem. The art activities especially improved engagement for younger participants. We also saw that females who used the art-based activities reported lower mental workload during ideation and greater pride in their sketches. However, the warm-ups did not produce any difference in the number of ideas or other metrics of performance. These preliminary results indicate that warm-up activities, especially the art-based ones, help reduce inhibition by calming the cognitive state.
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Satti, Fahad Ahmed, Musarrat Hussain, Jamil Hussain, Tae-Seong Kim, Sungyoung Lee, and TaeChoong Chung. "User Stress Modeling through Galvanic Skin Response." In 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2021. http://dx.doi.org/10.1109/imcom51814.2021.9377380.

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Flagler, Theresa, Jonathan Tong, Robert S. Allison, and Laurie M. Wilcox. "Validity Testing the NeuLog Galvanic Skin Response Device." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283465.

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Dhokalia, Dhruv M., Parul Atreya, Arun Kumar, R. B. Patel, and B. P. Singh. "Designing skin response meter for psycho galvanic reflex." In 2ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-11). AIP, 2011. http://dx.doi.org/10.1063/1.3669920.

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Klein, Steven A., Aleksandar Aleksov, Vijay Subramanian, Rajendra Dias, Pramod Malatkar, and Ravi Mahajan. "Mechanical Testing for Stretchable Electronics." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-68215.

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Stretchable electronics have been a subject of increased research over the past decade [1–3]. Although stretchable electronic devices are a relatively new area for the semiconductor/electronics industries, recent market research indicates the market could be worth more than 900 million dollars by 2023 [4]. At CES (Consumer Electronics Show) in January 2016, two commercial patches were announced which attach to the skin to measure information about the user’s vitals and environmental conditions [5]. One of these measures the sun exposure of the user with a UV sensitive dye — which can communicate with the user’s cell phone to track the user’s sun exposure. Another device is a re-usable flexible patch which measures cardiac activity, muscle activity, galvanic skin response, and user’s motion. These are just two examples of the many devices that will be developed in the coming years for consumer and medical use. This paper investigates mechanical testing methods designed to test the stretching capabilities of potential products across the electronics industry to help quantify and understand the mechanical integrity, response, and the reliability of these devices. Typically, the devices consist of stiff modules connected by stretchable traces [6]. They require electrical and mechanical connectivity between the modules to function. In some cases, these devices will be subject to bi-axial and/or cyclic mechanical strain, especially for wearable applications. The ability to replicate these mechanical strains and understand their effect on the function of the devices is critical to meet performance, process and reliability requirements. There has been a test method proposed recently for harsh / high-rate testing (shock) of stretchable electronics [7]. The focus of the approach presented in the paper aims to simulate expected user conditions in the consumer and medical fields, whereas earlier research was focused on shock testing. In this paper, methods for simulating bi-axial and out-of-plane strains similar to what may occur in a wearable device on the human body are proposed. Electrical and / or optical monitoring (among other methods) can be used to determine cycles to failure depending on expected failure modes. Failure modes can include trace damage in stretchable regions, trace damage in functional component regions, or bulk stretchable material damage, among others. Three different methods of applying mechanical strain are described, including a stretchable air bladder method, membrane test method, and lateral expansion method. This work will describe a prototype of the air bladder method with initial results of the testing for example devices. The system utilizes an expandable bladder to roughly simulate the expansion of muscles in the human body. Besides strain and # of cycles, other variables such as humidity, temperature, ultraviolet exposure, and others can be utilized to determine their effect on the mechanical and electrical reliability of the devices.
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Pan, Matthew K. X. J., Gordon Jih-Shiang Chang, Gokhan H. Himmetoglu, AJung Moon, Thomas W. Hazelton, Karon E. MacLean, and Elizabeth A. Croft. "Galvanic skin response-derived bookmarking of an audio stream." In the 2011 annual conference extended abstracts. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1979742.1979716.

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Kurniawan, Hindra, Alexandr V. Maslov, and Mykola Pechenizkiy. "Stress detection from speech and Galvanic Skin Response signals." In 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2013. http://dx.doi.org/10.1109/cbms.2013.6627790.

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Naszariahi, M. N., K. Nur‘ Aina Khaleeda, and N. Aida Mohd Mortar. "The development of galvanic skin response for depressed people." In PROCEEDINGS OF ADVANCED MATERIAL, ENGINEERING & TECHNOLOGY. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0023848.

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Reports on the topic "Galvanic skin response test"

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Oberlin, Michael. Verbal Conditioning of The Galvanic Skin Response to Deception. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada304659.

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