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
ORCID https://orcid.org/0000-0002-5928-8294
ResearchGate Peter Lamb
GoogleScholar Peter Lamb
Twitter @petelamb_biomx

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 now teaches and researches in biomechanics and performance analysis and is programme leader of the Sports Technology BAppSc major.

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, signal processing 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, Associate Professor Melanie Bussey
Cliff Waller (PhD): Professor Leigh Hale, Dr Allyson Calder, Dr Peter Lamb, Associate Professor Stephanie Woodley
Kelsi Wallace (MSc): Dr Peter Lamb, Sofia Kalogeropoulou

Graduates

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

Potential postgraduate students should have an interest in sports biomechanics and performance analysis from a complex systems perspective. Please consult the University of Otago scholarships webpage to check eligibility for international and domestic student scholarships.
Visit the University of Otago scholarships webpage

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Publications

Perrett, C., Lamb, P., & Bussey, M. (2020). Does external workload accurately predict lower-back injuries in cricket fast bowlers? A systematic review. Physical Therapy in Sport, 41, 71-79. doi: 10.1016/j.ptsp.2019.11.007

Ross, C., Lamb, P., McAlpine, P., Kennedy, G., & Button, C. (2020). Validation of gyroscope sensors for snow sports performance monitoring. International Journal of Computer Science in Sport, 19(1), 51-59. doi: 10.2478/ijcss-2020-0004

Ramsey, C., Lamb, P., & Ribeiro, D. C. (2020). Clinicians perceptions of footwear when assessing and managing patients with running-related injuries. Physical Therapy in Sport, 42, 9-15. doi: 10.1016/j.ptsp.2019.12.005

Hébert-Losier, K., Lamb, P., & Beaven, C. M. (2020). Biomechanical determinants of placekicking success in professional Rugby Union players. Sports Biomechanics. Advance online publication. doi: 10.1080/14763141.2020.1728368

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, 37(14), 1617-1629. doi: 10.1080/02640414.2019.1578449

Journal - Research Article

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

Journal - Research Article

Ramsey, C. A., Ribeiro, D. C., Lamb, P., Sole, C. C., & Sole, G. (2018). Reliability of the footwear total asymmetry score tool. Footwear Science, 10(2), 119-128. doi: 10.1080/19424280.2018.1478888

Journal - Research Article

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

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

Journal - Research Article

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

Journal - Research Article

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

Conference Contribution - Published proceedings: Full paper

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.

Chapter in Book - Research

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.

Chapter in Book - Research

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

Conference Contribution - Published proceedings: Full paper

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.

Chapter in Book - Research

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

Journal - Research Article

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

Journal - Research Article

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.

Journal - Research Article

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

Journal - Research Article

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.

Journal - Research Article

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.

Chapter in Book - Research

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.

Chapter in Book - Research

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

Journal - Research Article

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

Journal - Research Article

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

Journal - Research Article

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

Journal - Research Article

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

Journal - Research Article

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.

Journal - Research Article

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

Journal - Research Article

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.

Chapter in Book - Research

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.

Journal - Research Article

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

Chapter in Book - Research

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.

Journal - Research Article

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]

Conference Contribution - Published proceedings: Full paper

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]

Conference Contribution - Published proceedings: 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]

Conference Contribution - Published proceedings: 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]

Conference Contribution - Published proceedings: 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

Conference Contribution - Published proceedings: Full paper

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

Conference Contribution - Published proceedings: Full paper

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