Articles de revues : « Time-motion analysis »

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Minghelli, Beatriz. « Time-motion analysis in surf : benefits ». International Journal of Sport, Exercise and Health Research 2, n^o 1 (2018) : 97–99. http://dx.doi.org/10.31254/sportmed.2105.

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Nesi, P., F. Innocenti et P. Pezzati. « RETIMAC : REal-TIme Motion Analysis Chip ». IEEE Transactions on Circuits and Systems II : Analog and Digital Signal Processing 45, n^o 3 (mars 1998) : 361–75. http://dx.doi.org/10.1109/82.664242.

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Cánovas López, María, José L. Arias, Pablo García Marín et Juan Luis Yuste. « Time-Motion Analysis Procedure in Team Sports ». Strength and Conditioning Journal 36, n^o 3 (juin 2014) : 71–75. http://dx.doi.org/10.1519/ssc.0000000000000061.

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KURITA, Yutaka, Yuichi MATSUMURA, Yuya INOUE, Fumitake TOMITA, Setsuko TAKEMURA et Kazumi YOKOI. « Real-time Motion Analysis Using CCD Camera ». Transactions of the Japan Society of Mechanical Engineers Series C 74, n^o 742 (2008) : 1546–53. http://dx.doi.org/10.1299/kikaic.74.1546.

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Sanchez, B., E. Louarroudi, S. B. Rutkove et R. Pintelon. « Circular motion analysis of time-varying bioimpedance ». Physiological Measurement 36, n^o 11 (22 octobre 2015) : 2353–67. http://dx.doi.org/10.1088/0967-3334/36/11/2353.

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Franchini, Emerson, Guilherme Giannini Artioli et Ciro José Brito. « Judo combat : time-motion analysis and physiology ». International Journal of Performance Analysis in Sport 13, n^o 3 (décembre 2013) : 624–41. http://dx.doi.org/10.1080/24748668.2013.11868676.

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Higgs, Colin. « Wheelchair Racquetball : A Preliminary Time Motion Analysis ». Adapted Physical Activity Quarterly 7, n^o 4 (octobre 1990) : 370–84. http://dx.doi.org/10.1123/apaq.7.4.370.

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Wheelchair racquetball players in the A and B divisions of the 1989 Canadian Racquetball Championships were videotaped and their performances were analyzed. The results indicated that the athletes had an exercise-to-pause ratio of 1:1.5 at the A level and 1:2.3 at the B level. Rallies were slightly longer at the higher level, with substantially longer pause periods at the B level. There was a higher percentage of longer rallies at the A level, although both divisions of play had comparable percentages of forehand and backhand shots. A-level players demonstrated greater distances covered per rally, greater wheelchair speed, and a higher degree of wheelchair maneuverability measured by the number and magnitude of directional changes. In particular, A-level players showed a greater tendency to use small directional corrections, particularly turns to the right of less than 45 °. It is suggested that this action allowed a less restricted backswing for powerful forehand shots.

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McManus, A., M. Stevenson et C. Finch. « 115 Time-motion analysis - non-elite netball ». Journal of Science and Medicine in Sport 8 (décembre 2005) : 68. http://dx.doi.org/10.1016/s1440-2440(17)30610-2.

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Clayton, Hilary M. « Time-motion analysis of show jumping competitions ». Journal of Equine Veterinary Science 16, n^o 6 (juin 1996) : 262–66. http://dx.doi.org/10.1016/s0737-0806(96)80195-x.

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KURITA, Yutaka, Yuichi MATSUMURA, Yuya INOUE, Fumitake TOMITA, Setsuko TAKEMURA et Kazumi YOKOI. « Real-time Motion Analysis Using CCD Camera ». Journal of Environment and Engineering 5, n^o 1 (2010) : 144–56. http://dx.doi.org/10.1299/jee.5.144.

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Leo, Marco, P. Spagnolo, T. D'Orazio, P. L. Mazzeo et A. Distante. « Real-time smart surveillance using motion analysis ». Expert Systems 27, n^o 5 (21 octobre 2010) : 314–37. http://dx.doi.org/10.1111/j.1468-0394.2010.00545.x.

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Tornello, F., C. Minganti, S. Chiodo et A. Tessitore. « Time motion analysis of youth taekwondo combats ». Annals of Research in Sport and Physical Activity, n^o 2 (2011) : 138–39. http://dx.doi.org/10.14195/2182-7087_2_25.

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Ben-Ezra, Moshe, Shmuel Peleg et Michael Werman. « Real-Time Motion Analysis with Linear Programming ». Computer Vision and Image Understanding 78, n^o 1 (avril 2000) : 32–52. http://dx.doi.org/10.1006/cviu.1999.0826.

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Berestycki, Julien, Éric Brunet, Simon C. Harris et Piotr Miłoś. « Branching Brownian motion with absorption and the all-time minimum of branching Brownian motion with drift ». Journal of Functional Analysis 273, n^o 6 (septembre 2017) : 2107–43. http://dx.doi.org/10.1016/j.jfa.2017.06.006.

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Heaton, Heather A., Rona Wang, Kyle J. Farrell, Octavia S. Ruelas, Deepi G. Goyal, Christine M. Lohse, Annie T. Sadosty et David M. Nestler. « Time Motion Analysis : Impact of Scribes on Provider Time Management ». Journal of Emergency Medicine 55, n^o 1 (juillet 2018) : 135–40. http://dx.doi.org/10.1016/j.jemermed.2018.04.018.

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Yang, Xi, Shujie Li, Yingkai Zhang et Xiaoping Liu. « Time-Frequency Analysis for Multi-granularity Motion Segmentation ». Journal of Computer-Aided Design & ; Computer Graphics 29, n^o 12 (2017) : 2288. http://dx.doi.org/10.3724/sp.j.1089.2017.16724.

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Minghelli, Beatriz, Sara Paulino, Sara Graça, Inês Sousa et Priscilla Minghelli. « Time-motion analysis of competitive surfers : Portuguese championship ». Revista da Associação Médica Brasileira 65, n^o 6 (juin 2019) : 810–17. http://dx.doi.org/10.1590/1806-9282.65.6.810.

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SUMMARY BACKGROUND: Time-motion analysis has been used to provide detailed insight into surfers’ performance. This study evaluated surfers’ activity times at the Portuguese surfing championship in order to account for the time spent in each surfing activity. METHODS: Eighty-seven individually recorded videos of surfers were analyzed, showing their activity over the entire heat, and video analysis software was used to obtain each surfer's activity profile in the competition. RESULTS: The results breakdown by time percentage show that the surfers were paddling 50.9% of the time, sprint paddling for wave 1.9%, were stationary 34.1% of the time, wave riding 3.7%, and involved in miscellaneous activities (e.g., duck diving, board recovery, etc.) 9.4% of the total time. Average times spent in each surfing activity were 18.6 seconds for paddling, 2.9 seconds for sprint paddling for a wave, 21.7 seconds for the stationary period, 11.5 seconds for wave riding, and 6.9 seconds for miscellaneous activities. CONCLUSIONS: The data revealed that the most performed heat activity was paddling, allowing us to conclude that surfing is basically a long-arm paddling activity and that this activity constitutes a specific surfing competition demand, which in turn means that individual surfer's data can be used as a starting point for the development of tailored conditioning training programs.

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DiRienzo, A. Gregory, Igor G. Zurbenko et David O. Carpenter. « Time Series Analysis of Aplysia Total Motion Activity ». Biometrics 54, n^o 2 (juin 1998) : 493. http://dx.doi.org/10.2307/3109758.

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Clayton, H. M. « Time-motion analysis in the sport of dressage ». Pferdeheilkunde Equine Medicine 12, n^o 4 (1996) : 671–78. http://dx.doi.org/10.21836/pem19960467.

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Tornello, Francesco, Laura Capranica, Salvatore Chiodo, Carlo Minganti et Antonio Tessitore. « Time-Motion Analysis of Youth Olympic Taekwondo Combats ». Journal of Strength and Conditioning Research 27, n^o 1 (janvier 2013) : 223–28. http://dx.doi.org/10.1519/jsc.0b013e3182541edd.

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Castellano, J., A. Blanco-Villaseñor et D. Álvarez. « Contextual Variables and Time-Motion Analysis in Soccer ». International Journal of Sports Medicine 32, n^o 06 (17 mai 2011) : 415–21. http://dx.doi.org/10.1055/s-0031-1271771.

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Ouergui, Ibrahim, Nizar Hssin, Monoem Haddad, Emerson Franchini, David G. Behm, Del P. Wong, Nabil Gmada et Ezzedine Bouhlel. « Time-Motion Analysis of Elite Male Kickboxing Competition ». Journal of Strength and Conditioning Research 28, n^o 12 (décembre 2014) : 3537–43. http://dx.doi.org/10.1519/jsc.0000000000000579.

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Morita, Toshihiko. « Tracking vision system for real-time motion analysis ». Advanced Robotics 12, n^o 6 (janvier 1997) : 609–17. http://dx.doi.org/10.1163/156855399x00027.

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Rudkin, Steven T., et Peter G. O’Donoghue. « Time-motion analysis of first-class cricket fielding ». Journal of Science and Medicine in Sport 11, n^o 6 (novembre 2008) : 604–7. http://dx.doi.org/10.1016/j.jsams.2007.08.004.

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Schuh, H., B. Richter et S. Nagel. « Analysis of Long Time Series of Polar Motion ». International Astronomical Union Colloquium 178 (2000) : 321–32. http://dx.doi.org/10.1017/s0252921100061443.

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AbstractTwo long time series of polar motion were analysed with respect to a linear drift, decadal variations, Chandler wobble and annual wobble: the C01 series published by the International Earth Rotation Service (IERS) and the pole series which J. Vondrák, obtained by re-analysis of the classical astronomical observations using the HIPPARCOS reference frame (1899.7–1992.0). By a least-squares fit the linear drift of the pole, usually called ‘secular polar motion,’ was determined to 3.31 milliarcseconds/year (mas/yr) toward 76.1° West longitude. For this fit the a priori correlations within each pair of pole coordinates were taken into account, and the weighting function was calculated by estimation of empirical variance components. The decadal variations of the pole path were determined by Fourier analysis. Using a sliding window analysis, the variability of the periods, the amplitudes and the phases of the Chandler wobble and annual wobble was investigated. The variances of the results and the number of iterations needed to get a convergence in the nonlinear approach show that the new time series by Vondrák is more homogeneous and consistent than the IERS C01 series.

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McManus, A., M. Stevenson et C. Finch. « 113 Time-motion analysis : non-elite Australian football ». Journal of Science and Medicine in Sport 8 (décembre 2005) : 67. http://dx.doi.org/10.1016/s1440-2440(17)30608-4.

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McManus, A., M. Stevenson et C. Finch. « 114 Time-motion analysis : non-elite field hockey ». Journal of Science and Medicine in Sport 8 (décembre 2005) : 68. http://dx.doi.org/10.1016/s1440-2440(17)30609-6.

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Wei, Pengfei, Jingwen Song, Zhenzhou Lu et Zhufeng Yue. « Time-dependent reliability sensitivity analysis of motion mechanisms ». Reliability Engineering & ; System Safety 149 (mai 2016) : 107–20. http://dx.doi.org/10.1016/j.ress.2015.12.019.

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Narazaki, Kenji, Kris Berg et Minoru Shinohara. « Bioenergetics and Time-Motion Analysis of Competitive Basketball ». Medicine & ; Science in Sports & ; Exercise 38, Supplement (mai 2006) : S238—S239. http://dx.doi.org/10.1249/00005768-200605001-01925.

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Premelč, Jerneja. « TIME MOTION AND PERFORMANCE ANALYSIS IN TANGO DANCE ». Kinesiologia Slovenica 28, n^o 1 (26 mai 2022) : 48–59. http://dx.doi.org/10.52165/kinsi.28.1.48-59.

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The aim of this study was to investigate the movement and choreography characteristics between four different quality groups in tango. Thirty-five dance couples competing in an international competition in the adult category were selected for analysis. The total time and average speed in each direction of movement and the number of changes of direction were compared between four different quality groups. The average speed of the movement and choreography path was 1.14 ± 5.1 m/s and 77.56 ± 11.1 m, respectively. Dancers mostly danced in line of dance (LOD) (M = 10.74 ± 5.2 s), diagonal to the center (DC) (M = 9.96 ± 4.5 s), and diagonal to the wall (DW) (M = 8 ± 3.1s). Although no significant differences were found, the time spent dancing in LOD decreased with the more successful quality group. Significant differences between the quality groups were found in the speed of movement in LOD direction (χ2 = 9.4, df = 3, p = 0.024), which decreased with the more successful quality group. Dancers made an average of 26.31 ± 3.4 changes in direction. Statistical differences were found between the quality groups (χ2 = 7.7, df = 3, p = 0.04). This is the first detailed study in tango analyzing the characteristics of movement and choreography. The quality groups differ in the speed of movement in some directions of movement and in the number of changes of direction. The results presented can help choreographers and coaches to adequately design the physical preparation of the dancers, the structure of the choreography and the technical and tactical requirements.

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Strykowiec, Piotr, et Remigiusz Szczepanowski. « Space positional and motion SRC effects : A comparison with the use of reaction time distribution analysis ». Advances in Cognitive Psychology 9, n^o 4 (31 décembre 2013) : 202–15. http://dx.doi.org/10.5709/acp-0146-5.

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Burdzy, Krzysztof, Zhen-Qing Chen et John Sylvester. « The heat equation and reflected Brownian motion in time-dependent domains. » Journal of Functional Analysis 204, n^o 1 (octobre 2003) : 1–34. http://dx.doi.org/10.1016/s0022-1236(03)00128-9.

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Yan, Litan, Yumiao Li et Kun He. « Rough path analysis for local time of G-Brownian motion ». Applicable Analysis 99, n^o 6 (27 août 2018) : 899–921. http://dx.doi.org/10.1080/00036811.2018.1514112.

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ISEKI, Toshio. « Time Series Analysis of Non-stationary Ship Motion Data ». Journal of Japan Institute of Navigation 112 (2005) : 301–6. http://dx.doi.org/10.9749/jin.112.301.

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O, Gwang-Seok, Gwon Son et Gyeong-Hyeon Choe. « Real-Time Analysis of Occupant Motion for Vehicle Simulator ». Transactions of the Korean Society of Mechanical Engineers A 26, n^o 5 (1 mai 2002) : 969–75. http://dx.doi.org/10.3795/ksme-a.2002.26.5.969.

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Mirzaei, Bahman, Iman Faryabi et Heidar Alizaei Yousefabadi. « Time-Motion analysis of the 2017 Wrestling World Championships ». Pedagogy of Physical Culture and Sports 25, n^o 1 (25 février 2021) : 24–30. http://dx.doi.org/10.15561/26649837.2021.0104.

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Background and study aim. The purpose of this study was to determine the relative contribution of energy systems in a freestyle (FS) and a Greco-Roman (GR) wrestling match, quantity and quality of obtained scores, and the competition efficiency of winners in the 2017 Wrestling World Championships (WCh) through analysing the recorded videos of all the matches of this event. Material and method. The materials of the present study were 295 FS and 266 GR recorded videos of the 2017 WCh, a multimedia player (lap top) for watching and analysing them, and a chronometer for recording the different duration of activities happening during these matches. In addition, special papers were designed in advance to make sure that all the required data were recorded properly. Result. The percentages of ATP-PC (ATP), lactic (LAC), and aerobic (AERO) energy systems were 6.66, 62.74, and 30.60 in FS, and 5.94, 67.53, and 26.53 in GR. Quantity and quality analysis of scores showed that FS wrestlers significantly scored more 1- and 4-point, while GR wrestlers were superior regarding the quality 2-point. The average competition efficiency of gold medallists was 18/43±4/67 in FS and 15/87±3/18 in GR which were statistically significantly greater than that of all other placers. Conclusion. This study showed the dominance of LAC in a wrestling match in both styles, although their relative contribution was significantly different between styles. In addition, FS wrestlers significantly scored more points, and Gold medallists demonstrated the greatest average competition efficiency compared to other medallists.

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Miarka, Bianca, Fabrício B. Del Vecchio, Ricardo Julianetti, Rubiana Cury, Suzi Camey et Emerson Franchini. « Time-motion and tactical analysis of Olympic judo fighters ». International Journal of Performance Analysis in Sport 16, n^o 1 (avril 2016) : 133–42. http://dx.doi.org/10.1080/24748668.2016.11868876.

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Harmon, Joshua D., Brian D. Luck, Kevin J. Shinners, Robert P. Anex et Jessica L. Drewry. « Time-Motion Analysis of Forage Harvest : A Case Study ». Transactions of the ASABE 61, n^o 2 (2018) : 483–91. http://dx.doi.org/10.13031/trans.12484.

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Abstract. Forage harvest is a time and energy intensive process requiring the coordination of multiple pieces of equipment. Detailed characterizations of the time spent in each work state for each piece of equipment would increase the understanding of process inefficiencies and aid in development of optimization tools. Geospatial and controller area network (CAN) machine data were recorded on forage harvesters and transport equipment, during two types of harvest operations, to quantify utilization of harvesters and transports as well as transport productivity. The data collection and processing method was successful in identifying work states for forage harvesters and transports. The results indicated that overall utilization of the harvester for harvesting was 61% and dependent on transport availability. The portion of total operational time spent in the idle work state (idle utilization) was 10% to 20% for transports and 18% to 23% for harvesters. A new metric for transport productivity was developed and found to be highly dependent on transport capacity ranging from 125 to 49 Mg km h-1 for semi-trucks and smaller transports, respectively. The proposed data collection methods and productivity metrics could be used to optimize the forage harvest process to reduce idle time and maintain crop quality. Keywords: Controller area network, Cycle analysis, Forage harvester, Global positioning system.

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Alentejano, Teresa, Dru Marshall et Gordon Bell. « A Time–Motion Analysis of Elite Solo Synchronized Swimming ». International Journal of Sports Physiology and Performance 3, n^o 1 (mars 2008) : 31–40. http://dx.doi.org/10.1123/ijspp.3.1.31.

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Purpose:To determine the total amount and relative time periods of face immersion (FI) in a synchronized swimming solo routine and the relationship between FI, distance covered, and the technical-merit score of the 11 top Canadian soloists at a synchronized swimming national championship (mean age 20 ± 1.8 y, height 173.3 ± 4.1 cm, and body mass 58.3 ± 4 kg).Methods:Videotape and timing of solo performances combined with manual tracking of pool patterns.Results:Analysis of performance revealed that an average of 18 FI periods, mean of 6.8 s, were performed for an average total time of 133.7 ± 27.1 s (range 102.2 to 199.8 s). The average longest FI time period was 25.45 ± 6.2 s (range 18.18 to 38.72 s), and most (10/11) of these were in the first third of the solo. The mean total horizontal distance covered was 57.61 ± 6.84 m (range 48.61 to 68.2 m), and the total horizontal distance covered relative to time was 0.276 ± 0.034 m/s (range 0.235 to 0.340 m/s). No significant relationships were found between any of the FI periods and the distance covered or between the technical-merit score and FI periods. Each solo contained 6 to 8 underwater sequences, none of which were longer than 40 seconds, the cutoff deemed dangerous by FINA (Fédération Internationale de Natation).Conclusion:This study shows that the times underwater for solos in Canada are within safety limits recommended by FINA and that judging in Canada is not related to underwater periods of swimming.

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Lovell, Ric, et Grant Abt. « Individualization of Time–Motion Analysis : A Case-Cohort Example ». International Journal of Sports Physiology and Performance 8, n^o 4 (juillet 2013) : 456–58. http://dx.doi.org/10.1123/ijspp.8.4.456.

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Purpose:To report the intensity distribution of Premier League soccer players’ external loads during match play, according to recognized physiological thresholds. The authors also present a case in which individualized speed thresholds changed the interpretation of time–motion data.Method:Eight outfield players performed an incremental treadmill test to exhaustion to determine the running speeds associated with their ventilatory thresholds. The running speeds were then used to individualize time–motion data collected in 5 competitive fixtures and compared with commonly applied arbitrary speed zones.Results:Of the total distance covered, 26%, 57%, and 17% were performed at low, moderate, and high intensity, respectively. Individualized time– motion data identified a 41% difference in the high-intensity distance covered between 2 players of the same positional role, whereas the player-independent approach yielded negligible (5–7%) differences in total and high-speed distances covered.Conclusions:The authors recommend that individualized speed thresholds be applied to time–motion-analysis data in synergy with the traditional arbitrary approach.

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Cutler, R., et L. S. Davis. « Robust real-time periodic motion detection, analysis, and applications ». IEEE Transactions on Pattern Analysis and Machine Intelligence 22, n^o 8 (2000) : 781–96. http://dx.doi.org/10.1109/34.868681.

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Dogramaci, Sera N., Mark L. Watsford et Aron J. Murphy. « Time-Motion Analysis of International and National Level Futsal ». Journal of Strength and Conditioning Research 25, n^o 3 (mars 2011) : 646–51. http://dx.doi.org/10.1519/jsc.0b013e3181c6a02e.

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Liu, Hongyou, Gang Zhao, A. Miguel Gómez, S. Javier Molinuevo, Jesús V. Giménez et Hui Kang. « Time-motion analysis on Chinese male field hockey players ». International Journal of Performance Analysis in Sport 13, n^o 2 (août 2013) : 340–52. http://dx.doi.org/10.1080/24748668.2013.11868652.

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Wylde, J. Matthew, Frankie H. Y. Tan et G. Peter O’Donoghue. « A time-motion analysis of elite women’s foil fencing ». International Journal of Performance Analysis in Sport 13, n^o 2 (août 2013) : 365–76. http://dx.doi.org/10.1080/24748668.2013.11868654.

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Conte, Daniele, Terence G. Favero, Corrado Lupo, Fabio M. Francioni, Laura Capranica et Antonio Tessitore. « Time-Motion Analysis of Italian Elite Womenʼs Basketball Games ». Journal of Strength and Conditioning Research 29, n^o 1 (janvier 2015) : 144–50. http://dx.doi.org/10.1519/jsc.0000000000000633.

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Watsford, M., A. Murphy et A. Coutts. « Energy expenditure and time–motion analysis during recreational surfing ». Journal of Science and Medicine in Sport 9 (décembre 2006) : 9. http://dx.doi.org/10.1016/j.jsams.2006.12.018.

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Coutts, Aaron J., et Peter R. J. Reaburn. « Time and motion analysis of the AFL field umpire ». Journal of Science and Medicine in Sport 3, n^o 2 (juin 2000) : 132–39. http://dx.doi.org/10.1016/s1440-2440(00)80075-4.

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Kim, Joonhong. « Discursive and cognitive analysis on motion, deixis and time ». Journal of Linguistics Science 102 (30 septembre 2022) : 293–312. http://dx.doi.org/10.21296/jls.2022.9.102.293.

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UMEMURA, Mamoru, et Hiroshi ICHIKAWA. « Motion and Time Analysis. Analysis Based on the Therblig Analysis and the PTS Analysis. » Journal of exercise physiology 8, n^o 3 (1993) : 159–64. http://dx.doi.org/10.1589/rika1986.8.159.

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Meerschaert, Mark M., Erkan Nane et Yimin Xiao. « Large deviations for local time fractional Brownian motion and applications ». Journal of Mathematical Analysis and Applications 346, n^o 2 (octobre 2008) : 432–45. http://dx.doi.org/10.1016/j.jmaa.2008.05.087.

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Articles de revues sur le sujet « Time-motion analysis »

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