Peter Lamb, Academic staff, School of Physical Education, Sport and Exercise Sciences, University of Otago, New Zealand

Senior Lecturer
HBK, MSc, PhD
Tel +64 3 479 9115
Email peter.lamb@otago.ac.nz

Background

Peter Lamb is a Senior Lecturer at the School of Physical Education, Sport and Exercise Sciences. Peter obtained his HBK (2003, Honours Bachelor of Kinesiology) and MSc (2005, Motor Learning and Biomechanics) at Lakehead University in Canada before completing a PhD at Otago applying neural network analyses to human movement coordination in 2010. Peter then completed a 3-year post-doctoral fellowship at the Technical University of Munich researching golf swing biomechanics and performance modelling. At the University of Otago, he how teaches and researches in biomechanics and performance analysis.

Teaching

Research

Peter’s research interests are generally focussed on coordination between biomechanical components as well as between teams and individuals, spanning the fields of biomechanics and performance analysis. Peter has a particular interest in novel analysis and data visualisation techniques to gain understanding of coordination and movement variability in various sports and health related contexts.

Postgraduate Students

Current Students

Corey Perrett (PhD): Dr Peter Lamb, Dr Melanie Bussey
Cliff Waller (PhD): Assoc Prof Gisela Sole, Dr Peter Lamb, Assoc Prof Stephanie Woodley
Kelsi Wallace (MSc): Dr Peter Lamb, Sofia Kalogeropoulou

Graduates

Neil Anderson, PhD (2019): Prof Chris Button, Dr Peter Lamb
Cameron Ross, PhD (2019): Prof Chris Button, Dr Peter Lamb, Dr Paul McAlpine
Codi Ramsey, PhD (2018): Dr Daniel Ribeiro

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Publications

Ramsey, C. A., Lamb, P., Kaur, M., Baxter, G. D., & Ribeiro, D. C. (2019). "How are running shoes assessed? A systematic review of characteristics and measurement tools used to describe running footwear". Journal of Sports Sciences. Advance online publication. doi: 10.1080/02640414.2019.1578449

Lamb, P. F., & Pataky, T. C. (2018). The role of pelvis-thorax coupling in controlling within-golf club swing speed. Journal of Sports Sciences, 36(19), 2164-2171. doi: 10.1080/02640414.2018.1442287

Ramsey, C. A., Ribeiro, D. C., Lamb, P., Sole, C. C., & Sole, G. (2018). Reliability of the footwear total asymmetry score tool. Footwear Science. Advance online publication. doi: 10.1080/19424280.2018.1478888

Pataky, T. C., & Lamb, P. F. (2018). Effects of physical randomness training on virtual and laboratory golf putting performance in novices. Journal of Sports Sciences, 36(12), 1355-1362. doi: 10.1080/02640414.2017.1378493

Stöckl, M., & Lamb, P. F. (2018). The variable and chaotic nature of professional golf performance. Journal of Sports Sciences, 36(9), 978-984. doi: 10.1080/02640414.2017.1347269

Chapter in Book - Research
Journal - Research Article
Conference Contribution - Published proceedings: Full paper

Chapter in Book - Research

Lamb, P. F., & Glazier, P. S. (2018). The sequence of body segment interactions in the golf swing. In M. Toms (Ed.), Routledge international handbook of golf science. (pp. 26-34). Abingdon, UK: Routledge.

Glazier, P. S., & Lamb, P. F. (2018). Inter- and intra-individual movement variability in the golf swing. In M. Toms (Ed.), Routledge international handbook of golf science. (pp. 49-63). Abingdon, UK: Routledge.

Lamb, P. F., & Bartlett, R. M. (2017). Assessing movement coordination. In C. J. Payton & A. Burden (Eds.), Biomechanical evaluation of movement in sport and exercise: The British Association of Sport and Exercise Sciences guide. (2nd ed.) (pp. 22-43). Abingdon, Oxon: Routledge.

Button, C., Wheat, J., & Lamb, P. (2014). Why coordination dynamics is relevant for studying sport performance. In K. Davids, R. Hristovski, D. Araújo, N. Balagué Serre, C. Button & P. Passos (Eds.), Complex systems in sport. (pp. 44-61). Abingdon, UK: Routledge.

Stöckl, M., Lamb, P., & Lames, M. (2014). Analysing individual performance in golf using the ISOPAR method. In D. M. Peters & P. O’Donoghue (Eds.), Performance analysis of sport IX. (pp. 196-202). Abingdon, UK: Routledge.

Lamb, P., & Bartlett, R. (2013). Neural networks for analysing sports techniques. In T. McGarry, P. O'Donoghue & J. Sampaio (Eds.), Routledge handbook of sports performance analysis. (pp. 225-236). Abingdon, UK: Routledge.

Glazier, P., & Lamb, P. (2013). The swing. In M. F. Smith (Ed.), Golf science: Optimum performance from tee to green. (pp. 38-63). Ivy Press. doi: 10.7208/chicago/9780226001272.001.0001

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Journal - Research Article

Stöckl, M., & Lamb, P. F. (2018). The variable and chaotic nature of professional golf performance. Journal of Sports Sciences, 36(9), 978-984. doi: 10.1080/02640414.2017.1347269

Croft, H., Willcox, B., & Lamb, P. (2018). Using performance data to identify styles of play in netball: An alternative to performance indicators. International Journal of Performance Analysis in Sport [2017], 17(6), 1034-1043. doi: 10.1080/24748668.2017.1419408

Lamb, P., & Croft, H. (2016). Visualizing rugby game styles using self-organizing maps. IEEE Computer Graphics & Applications, 36(6), 11-15. doi: 10.1109/MCG.2016.115

Croft, H., Lamb, P., & Middlemass, S. (2015). The application of self-organising maps to performance analysis data in rugby union. International Journal of Performance Analysis in Sport, 15(3), 1037-1046.

Bartlett, R. M., Lamb, P. F., O'Donovan, D., & Kennedy, G. (2014). Use of self-organizing maps for exploring coordination variability in the transition between walking and running. International Journal of Comparative Psychology, 27(2), 265-279.

Lamb, P. F., Bartlett, R., Lindinger, S., & Kennedy, G. (2014). Multi-dimensional coordination in cross-country skiing analyzed using self-organizing maps. Human Movement Science, 33, 54-69. doi: 10.1016/j.humov.2013.08.005

Lamb, P. F., & Stöckl, M. (2014). On the use of continuous relative phase: Review of current approaches and outline for a new standard. Clinical Biomechanics, 29(5), 484-493. doi: 10.1016/j.clinbiomech.2014.03.008

Lamb, P. F. (2012). Understanding the relationship among launch variables in the golf drive using neural network visualisations. Sports Biomechanics, 11(2), 249-261. doi: 10.1080/14763141.2011.638389

Cordes, O., Lamb, P. F., & Lames, M. (2012). Concepts and methods for strategy building and tactical adherence: A case study in football. International Journal of Sports Science & Coaching, 7(2), 241-254. doi: 10.1260/1747-9541.7.2.241

Stöckl, M., Lamb, P. F., & Lames, M. (2012). A model for visualizing difficulty in golf and subsequent performance rankings on the PGA Tour. International Journal of Golf Science, 1(1), 10-24.

Stöckl, M., Lamb, P. F., & Lames, M. (2011). The ISOPAR method: A new approach to performance analysis in golf. Journal of Quantitative Analysis in Sports, 7(11), 10. doi: 10.2202/1559-0410.1289

Lamb, P. F., Bartlett, R. M., & Robins, A. (2011). Artificial neural networks for analyzing inter-limb coordination: The golf chip shot. Human Movement Science, 30, 1129-1143. doi: 10.1016/j.humov.2010.12.006

Lamb, P. F., Müendermann, A., Bartlett, R. M., & Robins, A. (2011). Visualizing changes in lower body coordination with different types of foot orthoses using self-organizing maps (SOM). Gait & Posture, 34(4), 485-489. doi: 10.1016/j.gaitpost.2011.06.024

Lamb, P., Stöckl, M., & Lames, M. (2011). Performance analysis in golf using the ISOPAR method. International Journal of Performance Analysis in Sport, 11(1), 184-196.

Lamb, P., Bartlett, R., & Robins, A. (2010). Self-organising maps: An objective method for clustering complex human movement. International Journal of Computer Science in Sport, 9(1), 20-29. Retrieved from http://iacss.org/index.php?id=94

Lamb, P., Bartlett, R., Robins, A., & Kennedy, G. (2008). Self-organizing maps as a tool to analyze movement variability. International Journal of Computer Science in Sport, 7(1), 28-39.

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Conference Contribution - Published proceedings: Full paper

Hébert-Losier, K., Lamb, P., & Beaven, C. M. (2018). Self-organising map analysis of rugby placekicking biomechanics. ISBS Conference Proceedings Archive, 36(1), 248. [Full Paper]

Stöckl, M., & Lamb, P. F. (2017). Gait stability during shod and barefoot walking and running on a treadmill assessed by correlation entropy. In M. Lames, D. Saupe & J. Wiemeyer (Eds.), Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS): Advances in Intellegent Systems and Computing (Vol. 663). (pp. 48-56). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-67846-7_5

Lamb, P., Bartlett, R., & Robins, A. (2011). Assessing coordination stability by means of a second SOM. In D. Link & J. Wiemeyer (Eds.), Proceedings of the Sportinformatik trifft Sporttechnologie [Computer science meets sports Sports Technology: 8th Symposium of the dvs Sktion sports computer science in cooperation with the German Interdisciplinary Association of Sports Technology]. (pp. 65-69). Feldhaus. [Full Paper]

Lamb, P., Müendermann, A., Bartlett, R., & Robins, A. (2011). Artificial neural network analysis of coordination between different types of shoe orthotics. In D. Link & J. Wiemeyer (Eds.), Proceedings of the Sportinformatik trifft Sporttechnologie [Computer science meets sports Sports Technology: 8th Symposium of the dvs Sktion sports computer science in cooperation with the German Interdisciplinary Association of Sports Technology]. (pp. 70-74). Feldhaus. [Full Paper]

Bartlett, R., & Lamb, P. (2011). The use of artificial neural networks in studying movement coordination. In Y. Jiang & H. Zhang (Eds.), Proceedings of the 8th International Symposium on Computer Science in Sport (IACSS). (pp. 22-29). Liverpool, UK: World Academic Press. [Full Paper]

Stöckl, M., Lamb, P. F., & Lames, M. (2011). Isopare als Werkzeug zur leistungsdiagnostischen Analyse im Golf. In D. Link & J. Wiemeyer (Eds.), Sportinformatik trifft Sporttechnologie. (pp. 196-200). Hamburg, Germany: Feldhaus Edition Czwalina. [Full Paper]

Lamb, P., Bartlett, R., & Robins, A. (2010). Self-organising maps: An objective method for clustering complex human movement. In K. Lyons, A. Baca & A. Lebedew (Eds.), Proceedings of the Seventh International Symposium of the International Association of Computer Science in Sport. (pp. 104-113). University of Canberra, Australia: National Institute of Sport Studies. Retrieved from http://www.box.com/shared/2blgcmfi61

Bartlett, R., Lamb, P., & Robins, A. (2008). Use of self organizing maps in technique analysis. Dagstuhl Seminar Proceedings, 8372. Retrieved from http://drops.dagstuhl.de/opus/volltexte/2008/1773

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