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Year : 2015  |  Volume : 5  |  Issue : 2  |  Page : 124-127  

A comparative study of visual and auditory reaction times on the basis of gender and physical activity levels of medical first year students

1 Department of Physiology, Government Medical College, Patiala, Punjab, India
2 Department of Conservative Dentistry and Endodontics, Institute of Dental Sciences, Sehora, Jammu, Jammu and Kashmir, India

Date of Submission09-May-2014
Date of Acceptance02-Sep-2014
Date of Web Publication18-May-2015

Correspondence Address:
Aditya Jain
House No. 13, Khalsa College Colony, Patiala, Punjab
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2229-516X.157168

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Background: Reaction time (RT) is a measure of the response to a stimulus. RT plays a very important role in our lives as its practical implications may be of great consequences. Factors that can affect the average human RT include age, sex, left or right hand, central versus peripheral vision, practice, fatigue, fasting, breathing cycle, personality types, exercise, and intelligence of the subject. Aim: The aim was to compare visual RTs (VRTs) and auditory RTs (ARTs) on the basis of gender and physical activity levels of medical 1 st year students. Materials and Methods: The present cross-sectional study was conducted on 120 healthy medical students in age group of 18-20 years. RT for target stimulus that is, for the beep tone for measuring ART, and red circle for measuring VRT was determined using Inquisit 4.0 (Computer Software) in the laptop. The task was to press the spacebar as soon as the stimulus is presented. Five readings of each stimulus were taken, and their respective fastest RT's for each stimuli were recorded. Statistical analysis was done. Results: In both the sexes' RT to the auditory stimulus was significantly less (P < 0.001) as compared to the visual stimulus. Significant difference was found between RT of male and female medical students (P < 0.001) as well as between sedentary and regularly exercising healthy medical 1 st year students.
Conclusion: The ART is faster than the VRT in medical students. Furthermore, male medical students have faster RTs as compared to female medical students for both auditory as well as visual stimuli. Regularly exercising medical students have faster RTs when compared with medical students with sedentary lifestyles.

Keywords: Auditory reaction time, exercise, females, males, medical students, visual reaction time

How to cite this article:
Jain A, Bansal R, Kumar A, Singh K D. A comparative study of visual and auditory reaction times on the basis of gender and physical activity levels of medical first year students. Int J App Basic Med Res 2015;5:124-7

How to cite this URL:
Jain A, Bansal R, Kumar A, Singh K D. A comparative study of visual and auditory reaction times on the basis of gender and physical activity levels of medical first year students. Int J App Basic Med Res [serial online] 2015 [cited 2021 Aug 2];5:124-7. Available from: https://www.ijabmr.org/text.asp?2015/5/2/124/157168

   Introduction Top

Reaction time (RT) is a measure of the quickness with which an organism responds to some sort of stimulus. RT is defined as the interval of time between the presentation of the stimulus and appearance of appropriate voluntary response in the subject. [1] Luce [2] and Welford [3] described three types of RT. (1) Simple RT: Here there is one stimulus and one response. (2) Recognition RT: Here there is some stimulus that should be responded to and other that should not get a response. (3) Choice RT: Here there are multiple stimulus and multiple responses.

Abϋ Rayhβn al-Bξrϋnξ was the first to describe the concept of RT. [4] Dutch physiologist Franciscus Cornelis Donders (1865) was among the first to systematically measure human RT using a telegraph like device invented in 1840 by Charles Wheatstone. Prior to his studies, there is no significant traceable thread in the literature about human RTs being measured.

Human RT works by having a nervous system recognize the stimulus. The neurons then relay the message to the brain. The message then travels from the brain to the spinal cord, which then reaches person's hands and fingers. The motor neurons then tell the hands and fingers how to react. The accepted figures for mean simple RTs for college-age individuals have been about 190 ms for light stimuli and about 160 ms for sound stimuli. [3] RT in response to a situation can significantly influence our lives due its practical implications. Fast RTs can produce rewards (e.g. in sports) whereas slow RT can produce grave consequences (e.g. driving and road safety matters). Factors that can affect the average human RT include age, sex, left or right hand, central versus peripheral vision, practice, fatigue, fasting, breathing cycle, personality types, exercise, and intelligence of the subject. [5]

In the literature very few studies [5],[6] can be found determining RTs in medical students. Thus, this study was conducted to scientifically contribute to the field of RT. The present study seeks to determine (i) whether RT varies with the receptor system involved, (ii) the difference if any to RTs between the two sexes (iii) difference in RT in medical students with sedentary lifestyle and regularly exercising students.

   Materials and Methods Top

A total of 130 medical students were taken out of which 10 were excluded by various exclusion criteria comprising of any history of hearing or visual disorder, smoking, alcoholism, cardiovascular and respiratory disease, on any medication affecting cognitive performance. Thus, this cross-sectional study was conducted on a total of 120 (60 male and 60 female) healthy medical students who were physically normal in the age group 18-20 years. The subjects were randomly selected for the study. Ethical clearance for the study was obtained from Institutional Ethical Committee. Participation in the test was voluntary and informed written consent was taken from every participant.

The tests were done using Inquisit 4.0 computer software released in 2013 by Millisecond Software in Seattle, Washington. During the visual RT (VRT) task, in the center of the white screen background, the participant gets presented a black fixation cross that is followed after variable time intervals by a target stimulus that is, red circle. The students were asked to concentrate on the fixation cross and press the "space bar" key, as soon as possible once the red circle (target stimulus) appears on the screen. In a simple auditory RT (ART) task after variable time intervals, the sound is played for 30 s to the participant through the speakers. The task is to press the spacebar as soon as the sound is presented. All the subjects were thoroughly acquainted with the procedure and practice trial was given every student before taking the test. By default, the time intervals are randomly chosen from 2000 ms, 3000 ms, 4000 ms, 5000 ms, 6000 ms, 7000 ms, 8000 ms. Five readings of each stimuli were taken, and their respective fastest RT's for each stimuli were recorded. The readings were taken between 10 a.m. and 12 p.m. in a quiet secluded room.

A comparison was made between a. VRT and ART; b. VRT and ART between males and females; and c. VRT and ART between sedentary and regularly exercising healthy students. Both male and female medical students who participated in at least 30 min of moderate physical activity which made them sweat or breathe hard, such as fast walking, slow bicycling, skating, pushing a lawn mower, etc., on 5 or more days/week or in at least 20 min of vigorous physical activity that made them sweat or breathe hard, such as basketball, soccer, running, swimming, fast bicycling, fast dancing etc., on 3 days or more/week for a minimum duration of 6 weeks were considered to be regularly exercising healthy adult students, whereas those students who did not participate in these activities were considered to have a sedentary lifestyle. [7]

The statistical analysis was carried out with Statistical Package for Social Sciences version 17.0 manufactured by SPSS Inc. (Chicago). P < 0.05 was considered to be statistically significant.

   Results Top

[Table 1] shows comparison between VRT and ART using Paired t-test. The present study was undertaken on 120 students (n = 120). The statistical analysis of the results show that there is highly significant difference between the two and the ART is faster than the VRT in medical students.
Table 1: Comparison between VRT and ART of medical students

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Unpaired t-test was used for overall comparison between male (n = 60) against female medical students (n = 60) for ART and VRT separately as shown in [Table 2]a. P < 0.001 was obtained, which is highly significant indicating that males have faster RTs when compared to females for both auditory, as well as visual stimuli. [Table 2]b shows comparison between sedentary male medical (n = 44) and female medical students (n = 56). P < 0.001 was obtained indicating sedentary male students have faster RTs (VRT and ART) as compared to sedentary female students. However when regularly exercising male (n = 16) and female students (n = 4) were compared as shown in [Table 2]c, nonsignificant differences were obtained.
Table 2:

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According to our statistical analysis of the overall comparison between sedentary and regularly exercising healthy medical students in [Table 3], a significant difference was found indicating that sedentary medical students have slower RTs.
Table 3: Overall comparison between sedentary and regularly exercising healthy medical students

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   Discussion Top

The study was conducted on 120 healthy medical students to study the VRTs and ARTs and how do they vary on the basis of gender, and sedentary and regularly exercising healthy students.

Auditory reaction time versus visual reaction time

Our study shows that the ART is faster than the VRT [Table 1]. The results obtained are in parallel with the studies existing in the literature. Research done by Pain and Hibbs, [8] shows that simple ART has the fastest RT for any given stimulus. A study was carried out by Thompson et al.[9] has documented that the mean RT to detect visual stimuli is approximately 180-200 ms, whereas for sound it is around 140-160 ms. Researches by Kemp [10] show that an auditory stimulus takes only 8-10 ms to reach the brain, but on the other hand, a visual stimulus takes 20-40 ms. Therefore, since the auditory stimulus reaches the cortex faster than the visual stimulus, the ART is faster than the VRT. Shelton and Kumar [11] also concluded that simple RT is faster for auditory stimuli compared with visual stimuli and auditory stimuli has the fastest conduction time to the motor cortex along with fast processing time in the auditory cortex. On the other hand, there is a research done by Yagi et al., [12] which shows that RT to visual stimuli is faster than to auditory stimuli. Hence, our study further supports the evidence that ART is faster than the VRT even in medical college students when confounding factors are removed.


A review of the literature on the influence of gender on RT shows that in almost every age group, males have faster RTs as compared to females, and female disadvantage is not reduced by practice. [13],[14],[15] Researches done by Misra et al. [16] also showed that males responded faster than females. Study done by Shelton and Kumar, [11] Nikam and Gadkari [17] also reported similar findings to support females have longer RTs than males. The results of our study [Table 2]a] agree with these studies and indicate that male medical students have faster RTs when compared to female medical students for both auditory, as well as visual stimuli. In our study when sedentary male and female medical students [Table 2]b] were compared removing any confounding factors, RTs of male students were faster; thereby further supporting the evidence that males have faster RTs than females.

The male-female difference is due to the lag between the presentation of the stimulus and the beginning of muscle contraction. It is documented in the literature that the muscle contraction time is the same for males and females [18] and motor responses in males are comparatively stronger than females, [19] this explains why males have faster simple RTs for both auditory as well as visual stimuli. Nowadays the male advantage is getting smaller, possibly because more women are participating in driving and fast-action sports. [19] This is evident from [Table 2]c in which nonsignificant differences were obtained when regularly exercising male and female medical students were compared.

Sedentary and regularly exercising healthy students

The findings of our study [Table 3] indicate that regularly exercising healthy medical students have faster RT than medical students with sedentary lifestyles and the difference between the two groups was statistically significant. These findings confirm the effect of physical activity and doing sports on improving RT which is supported by literature review done in this regard. Welford [3] found that physically fit subjects had faster RTs. Nougier et al.[20] suggest that athletes have better RT as compared to control subjects. Kaur et al.[21] found that athletes performed better than controls for auditory as well as VRT tasks. Nakamoto and Mori [22] found that college students who played basketball and baseball had faster RTs than sedentary students. Ghuntla et al.[23] showed that basketball players show faster RT than healthy controls. There are several possible explanations for this. Spirduso [24] proposed that less RT of athletes as compared to nonathletes was attributed to faster central nervous system processing times producing faster muscular movements in athletes. According to Gavkare et al. [25] shorter RT in athletes could be due to improved concentration and alertness, better muscular coordination, improved performance in the speed and accuracy task. Also, motor response execution is a physical task, so it is logical that people trained in physically reactive sports may have superior motor response ability. [26] It is also thought that individuals who exercise at moderate to intense levels have higher rates of cerebral blood flow. This increased amount of blood flow in the brain results in improvements in cognitive functioning due to increased supply of necessary nutrients, such as oxygen and glucose. [27],[28]

   Conclusion Top

Our study concluded that the ART is faster than the VRT in medical students. Male medical students have faster RTs as compared to female medical students for both auditory, as well as visual stimuli. Regularly exercising medical students have faster RTs as compared to medical students with sedentary life styles. Thus, it is strongly suggested that regular exercising must be encouraged in both male and female medical students to improve their efficiency levels.

Limitation of our study

We have conducted our study using simple RT. Choice RTs could be used as an expansion of the study in the future.

   References Top

Duke-Elder S. Franciscus Cornelis Donders. Br J Ophthalmol 1959;43:65-8.  Back to cited text no. 1
Luce RD. Information Theory of Choice-Reaction Times. London: Academic Press; 1968. Available from: http://www.biology.clemson.edu/bpc/bp/Lab/110/reaction.htm. [Last accessed on 2011 Aug 08].  Back to cited text no. 2
Welford AT. Choice reaction time: Basic concepts. In: Welford AT, editor. Reaction Times. New York: Academic Press; 1980. p. 73-128.  Back to cited text no. 3
Muhammad I. The spirit of Muslim culture, the reconstruction of religious thought in Islam. Available from: http://www.allamaiqbal.com/works/prose/english/reconstruction. [Last retrieved on 2008 Jan 25].  Back to cited text no. 4
Karia RM, Ghuntla TP, Mehta HB, Gokhale PA, Shah CJ. Effect of gender difference on visual reaction time: A study on medical students of Bhavnagar region. IOSR-PHR 2012;2:452-4.  Back to cited text no. 5
Badwe N, Patil KB, Yelam SB, Vikhe BB, Vatve MS. A comparative study of hand reaction time to visual stimuli in students of 1 st MBBS of a rural medical college. Pravara Med Rev 2012;4:4-6.  Back to cited text no. 6
Anand M, Jain A. Comparative study of blood pressure and heart rate recovery after submaximal exercise in sedentary and regularly exercising healthy adult students. J Clin Diagn Res 2012;6 Suppl 2:574-6.  Back to cited text no. 7
Pain MT, Hibbs A. Sprint starts and the minimum auditory reaction time. J Sports Sci 2007;25:79-86.  Back to cited text no. 8
Thompson PD, Colebatch JG, Brown P, Rothwell JC, Day BL, Obeso JA, et al. Voluntary stimulus-sensitive jerks and jumps mimicking myoclonus or pathological startle syndromes. Mov Disord 1992;7:257-62.  Back to cited text no. 9
Kemp BJ. Reaction time of young and elderly subjects in relation to perceptual deprivation and signal-on versus signal-off condition. Dev Psychol 1973;8:268-72.  Back to cited text no. 10
Shelton J, Kumar GP. Comparison between auditory and visual simple reaction times. Neurosci Med 2010;1:30-2.  Back to cited text no. 11
Yagi Y, Coburn KL, Estes KM, Arruda JE. Effects of aerobic exercise and gender on visual and auditory P300, reaction time, and accuracy. Eur J Appl Physiol Occup Physiol 1999;80:402-8.  Back to cited text no. 12
Noble C, Baker BL, Jones TA. Age and sex parameters in psychomotor learning. Percept Mot Skills 1964;19:935-45.  Back to cited text no. 13
Adam JJ, Paas FG, Buekers MJ, Wuyts IJ, Spijkers WA, Wallmeyer P. Gender differences in choice reaction time: Evidence for differential strategies. Ergonomics 1999;42:327-35.  Back to cited text no. 14
Der G, Deary IJ. Age and sex differences in reaction time in adulthood: Results from the United Kingdom Health and Lifestyle Survey. Psychol Aging 2006;21:62-73.  Back to cited text no. 15
Misra N, Mahajan KK, Maini BK. Comparative study of visual and auditory reaction time of hands and feet in males and females. Indian J Physiol Pharmacol 1985;29:213-8.  Back to cited text no. 16
Nikam LH, Gadkari JV. Effect of age, gender and body mass index on visual and auditory reaction times in Indian population. Indian J Physiol Pharmacol 2012;56:94-9.  Back to cited text no. 17
Botwinick J, Thompson LW. Components of reaction time in relation to age and sex. J Genet Psychol 1966;108:175-83.  Back to cited text no. 18
Silverman IW. Sex differences in simple visual re-action time: A historical meta-analysis (Sports Events). Sex Roles 2006;54:57-69.  Back to cited text no. 19
Nougier V, Ripoll H, Stein JF. Orienting of attention with highly skilled athletes. Int J Sport Psychol 1989;20:205-23.  Back to cited text no. 20
Kaur P, Paul M, Sandhu JS. Auditory and visual reaction time in athletes, healthy controls, and patients of type I diabetes mellitus: A comparative study. Int J Diabetes Dev Ctries 2006;26:112-5.  Back to cited text no. 21
Nakamoto H, Mori S. Sport-specific decision-making in a Go/NoGo reaction task: Difference among nonathletes and baseball and basketball players. Percept Mot Skills 2008;106:163-70.  Back to cited text no. 22
Ghuntla TP, Mehta HB, Gokhale PA, Shah CJ. A comparative study of visual reaction time in basketball players and healthy controls. Natl J Integr Res Med 2012;3:49.  Back to cited text no. 23
Spirduso WW. Reaction and movement time as a function of age and physical activity level. J Gerontol 1975;30:435-40.  Back to cited text no. 24
Gavkare AM, Nanaware NL, Surdi AD. Auditory reaction time, visual reaction time and whole body reaction time in athletes. Ind Med Gaz 2013;6:214-9.  Back to cited text no. 25
Welford AT. Fundamentals of Skill. London: Menthuen; 1968. Available from: http://www.biology.clemson.edu/bpc/bp/Lab/110/reaction.htm. [Last accessed on 2011 Aug 08].  Back to cited text no. 26
Etnier JL, Walter S, Landers DM, Petruzzelo SJ, Han M, Nowell P. The influence of physical fitness and exercise upon cognitive functioning: A meta-analysis. J Sport Exerc Psychol 1997;19:249-77.  Back to cited text no. 27
Tomporowski PD, Ellis NR. Effects of exercise on cognitive processes: A review. Psychol Bull 1986;99:338-46.  Back to cited text no. 28


  [Table 1], [Table 2], [Table 3]

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[Pubmed] | [DOI]
40 Assessing the performance of soccer goalkeepers based on their cognitive and motor skills
Jorge Rodríguez-Arce,Laura I. Flores-Núñez,Otniel Portillo-Rodríguez,Saúl E. Hernández-López
International Journal of Performance Analysis in Sport. 2019; : 1
[Pubmed] | [DOI]
41 Prolonged visual reaction time after strenuous endurance exercise: higher increment in male compared to female recreational runners
Alessandro Gentilin,Kristina Skroce,Federico Schena,Cantor Tarperi
Sport Sciences for Health. 2019;
[Pubmed] | [DOI]
42 Temporal Coordination in Mother–Infant Vocal Interaction: A Cross-Cultural Comparison
Lama K. Farran,Hyunjoo Yoo,Chia-Cheng Lee,Dale D. Bowman,D. Kimbrough Oller
Frontiers in Psychology. 2019; 10
[Pubmed] | [DOI]
43 A Multi-Agent Model for Asocial Behavior in Freeway Traffic
Aldrich Suratos,Ivan Tanev,Katsunori Shimohara
IEEJ Transactions on Electronics, Information and Systems. 2019; 139(11): 1234
[Pubmed] | [DOI]
44 “Ballistic Six” Upper-Extremity Plyometric Training for the Pediatric Volleyball Players
Elif Turgut,Ozge Cinar-Medeni,Filiz F. Colakoglu,Gul Baltaci
Journal of Strength and Conditioning Research. 2019; 33(5): 1305
[Pubmed] | [DOI]
45 Reaction time—the answer
D Featonby
Physics Education. 2019; 54(3): 037001
[Pubmed] | [DOI]
46 Saccades and driving
G. Guidetti,R. Guidetti,Maurizio Manfredi,Marco Manfredi,A. Lucchetta,S. Livio
Acta Otorhinolaryngologica Italica. 2019; 39(3): 186
[Pubmed] | [DOI]
47 Manual timing in physics experiments: Error and uncertainty
David A. Faux,Janet Godolphin
American Journal of Physics. 2019; 87(2): 110
[Pubmed] | [DOI]
48 Median Nerve Stimulation Based BCI: A New Approach to Detect Intraoperative Awareness During General Anesthesia
Sébastien Rimbert,Pierre Riff,Nathalie Gayraud,Denis Schmartz,Laurent Bougrain
Frontiers in Neuroscience. 2019; 13
[Pubmed] | [DOI]
49 Effects of modality and repetition in a continuous recognition memory task: Repetition has no effect on auditory recognition memory
Azlina Amir Kassim,Rehan Rehman,Jessica M. Price
Acta Psychologica. 2018; 185: 72
[Pubmed] | [DOI]
50 Differences among Three Measures of Reaction Time Based on Hand Laterality in Individual Sports
Dana Badau,Bilgehan Baydil,Adela Badau
Sports. 2018; 6(2): 45
[Pubmed] | [DOI]
51 Experimental validation of the CompuFlo ® Epidural Controlled System to identify the epidural space and its clinical use in difficult obstetric cases
G. Capogna,M. Camorcia,A. Coccoluto,M. Micaglio,M. Velardo
International Journal of Obstetric Anesthesia. 2018;
[Pubmed] | [DOI]
52 Who is better adapted in learning online within the personal learning environment? Relating gender differences in cognitive attention networks to digital distraction
Jiun-Yu Wu,Tzuying Cheng
Computers & Education. 2018;
[Pubmed] | [DOI]
53 Latency of skin conductance responses across stimulus modalities
R. Sjouwerman,T. B. Lonsdorf
Psychophysiology. 2018; : e13307
[Pubmed] | [DOI]
54 Drawing power of virtual crowds
Elham Mohammadi Jorjafki,Brad J. Sagarin,Sachit Butail
Journal of The Royal Society Interface. 2018; 15(145): 20180335
[Pubmed] | [DOI]
55 A Mission Performance Evaluation Approach for Civil UAS Applications
Ekaterina Fokina,Jens Feger,Mirko Hornung,L.H. Chen,Y. Kondo
MATEC Web of Conferences. 2018; 221: 05006
[Pubmed] | [DOI]
56 The influence of facial expressions on attack recognition and response behaviour in karate kumite
Katharina Petri,Nicole Bandow,Simon Salb,Kerstin Witte
European Journal of Sport Science. 2018; : 1
[Pubmed] | [DOI]
57 Segregation and Integration of Cortical Information Processing Underlying Cross-Modal Perception
G. Vinodh Kumar,Neeraj Kumar,Dipanjan Roy,Arpan Banerjee
Multisensory Research. 2018; 31(5): 481
[Pubmed] | [DOI]
58 The Role of Gender in Neuropsychological Assessment in Healthy Adolescents
Megan Elizabeth Evelyn Mormile,Jody L. Langdon,Tamerah Nicole Hunt
Journal of Sport Rehabilitation. 2018; : 1
[Pubmed] | [DOI]
Davut Sinan KAPLAN,Firat AKCAN,Caner YILDIRIM,Mustafa ÖZDAL,Ali Pasa KISAK,Mürsel BIÇER
Spor ve Performans Arastirmalari Dergisi. 2018;
[Pubmed] | [DOI]
60 The relationship between time of swim start and the power of the lower limbs among young swimmers
Lukasz Wadrzyk,Robert Staszkiewicz
Journal of Kinesiology and Exercise Sciences. 2018; 28(81): 57
[Pubmed] | [DOI]
61 Barefoot running does not affect simple reaction time: an exploratory study
Nicholas J. Snow,Jason F.L. Blair,Graham Z. MacDonald,Jeannette M. Byrne,Fabien A. Basset
PeerJ. 2018; 6: e4605
[Pubmed] | [DOI]
62 Differences in modal distortion in time perception due to working memory capacity: a response with a developmental study in children and adults
Sylvie Droit-Volet,Quentin Hallez
Psychological Research. 2018;
[Pubmed] | [DOI]
63 Problems of Ensuring Reliability and Validity of the Results of Psychophysiological Expertise
A. G. Firsov,O. V. ?ochin
Ukraïns'kij žurnal medicini, bìologìï ta sportu. 2018; 3(6): 209
[Pubmed] | [DOI]
64 Gamifying Video Object Segmentation
Concetto Spampinato,Simone Palazzo,Daniela Giordano
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017; 39(10): 1942
[Pubmed] | [DOI]
65 The contribution of early auditory and visual information to the discrimination of shot power in ball sports
Fabrizio Sors,Mauro Murgia,Ilaria Santoro,Valter Prpic,Alessandra Galmonte,Tiziano Agostini
Psychology of Sport and Exercise. 2017; 31: 44
[Pubmed] | [DOI]
66 Object Detection and Recognition for Assistive Robots: Experimentation and Implementation
Ester Martinez-Martin,Angel P. del Pobil
IEEE Robotics & Automation Magazine. 2017; 24(3): 123
[Pubmed] | [DOI]
67 Sex differences in anticipatory postural adjustments during rapid single leg lift
Melanie D. Bussey,Marcelo Peduzzi de Castro,Daniela Aldabe,Jonathan Shemmell
Human Movement Science. 2017;
[Pubmed] | [DOI]
68 Auditory display as feedback for a novel eye-tracking system for sterile operating room interaction
David Black,Michael Unger,Nele Fischer,Ron Kikinis,Horst Hahn,Thomas Neumuth,Bernhard Glaser
International Journal of Computer Assisted Radiology and Surgery. 2017;
[Pubmed] | [DOI]
Ashok J,Suganthi V,Vijayalakshmi I
Journal of Evidence Based Medicine and Healthcare. 2016; 3(16): 583
[Pubmed] | [DOI]
70 The Role of High Performance Computing and Communication for Real-Time Biofeedback in Sport
Anton Umek,Anton Kos
Mathematical Problems in Engineering. 2016; 2016: 1
[Pubmed] | [DOI]
71 Age-related cognitive decline as a function of daytime testing
Andrei Alexandru Puiu
Aging, Neuropsychology, and Cognition. 2016; : 1
[Pubmed] | [DOI]


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