11. Artificial intelligence and computer vision for marginal gains in olympic sports with Shaun Barratt

12. Advances in human body measurements and sports engineering with Dr Mike Thelwell

This week Will, Andy and special guest Dr Mike Thelwell [https://www.shu.ac.uk/about-us/our-people/staff-profiles/michael-thelwell ] discuss all things related to innovation in human body measurement. We also celebrate Mike's new job role appointment. Mike is a research fellow at Sheffield Hallam University who specialises in advancing how we measure the human body. Their work has the potential to revolutionise how applied practitioners measure and categorise the human body, as well as provide bespoke body compositional support. You can read some of Mike's latest work HERE [https://www.mdpi.com/2076-3417/14/2/834] and find out more about the sports engineering group via their blog [http://engineeringsport.co.uk]. Also, check out the 'morphology research theme [http://research.shu.ac.uk/shusize]' and MSc in Sports Engineering course [http://shu.ac.uk/courses/sport-and-physical-activity/msc-sports-engineering/full-time] at SHU that Mike is a part of. Make sure to like, subscribe, and give us a rating. You can follow us on X (Twitter) ⁠⁠HERE⁠⁠ [https://twitter.com/SRR_Podcast] to get in touch. Tune in next Monday for more interesting research in sport! Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/matrika/new-adventure License code: 0CMQNQ9UIUM09ZDL

11. Artificial intelligence and computer vision for marginal gains in olympic sports with Shaun Barratt

This week Will, Andy and special guest Shaun Barratt discuss how machine learning can be paired with computer vision analysis techniques in sports to benefit performance and athlete welfare.   Shaun is a software engineer currently studying for a PhD in the Sports Engineering Research Group at Sheffield Hallam University. His expertise in programming has resulted in apps that can quantify activity without the need for invasive instrumentation. The potential of the work can advise coaches and legislative bodies to benefit and protect athletes. You can find out more about Shaun and his work HERE [https://barratt.phd]. Make sure to like, subscribe, and give us a rating. You can follow us on X (Twitter) ⁠⁠⁠⁠HERE [https://x.com/SRR_Podcast] ⁠⁠to get in touch. Tune in next Monday for more interesting research in sport!  Music from #Uppbeat (free for Creators!):  https://uppbeat.io/t/matrika/new-adventure  License code: 0CMQNQ9UIUM09ZDL

10. Physical activity as a complementary approach to advanced cancer care with Niall Finnegan

This week Will, Andy and special guest Niall Finnegan discuss healthcare professionals perspectives of physical activity as a tool for supporting advanced cancer patients.   Niall is a first year PhD Sheffield Hallam University. His research looks to provide a collaborative overview of professional practices and to differentiate any opinions between healthcare roles. Niall's work could be the early process towards benefitting the physical function and quality of life of advanced cancer patients.   Make sure to like, subscribe, and give us a rating. You can follow us on X (Twitter) ⁠⁠⁠HERE⁠⁠ ⁠ [https://twitter.com/SRR_Podcast]to get in touch. Tune in next Monday for more interesting research in sport!    Niall has currently sent out a survey for healrtthcare professionals to share their views. You can read the details and get in touch HERE [https://docs.google.com/document/d/12Iln5nXXopEKgjAuvL-e3al3TjnVdZMQGfx7_X_lGxE/edit]. You can hear more from Niall on his LinkedIn [https://www.linkedin.com/in/niall-finnegan-343319224/] and X [https://twitter.com/NiallFinnegan_] pages too. Music from #Uppbeat (free for Creators!):  https://uppbeat.io/t/matrika/new-adventure  License code: 0CMQNQ9UIUM09ZDL

09. Can machine learning help forecast symptoms of ill-being in sport coaching populations with Oliver Rogerson

This week Will, Andy and special guest Oliver Rogerson discuss 'ill-being' and how machine learning can be used to identify burnout within sports coaching contexts. Oli is a first year PhD student at Sheffield Hallam University. His methods involve building awareness of ill-being and is looking at what metrics can be used in a computational model to identify risks and levels of burnout. Oli is active on LinkedIn [https://www.linkedin.com/in/oliver-rogerson-baa3b0238?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app] so make sure to get in touch if you're interested. Make sure to like, subscribe, and give us a rating. You can follow us on X (Twitter) ⁠⁠⁠HERE⁠⁠ ⁠ [https://twitter.com/SRR_Podcast]to get in touch. Tune in next Monday for more interesting research in sport!     Music from #Uppbeat (free for Creators!):  https://uppbeat.io/t/matrika/new-adventure  License code: 0CMQNQ9UIUM09ZDL

08. Applying skill acquisition in sporting contexts with Dr Ben Strafford

This week Will, Andy and special guest Dr Ben Strafford discuss all things related to movement science, skill acquisition and the ‘Delphi’ method.     Dr Ben Strafford works for the Academy of Sport and Physical Activity at Sheffield Hallam University. Ben's research investigates topics in human movement science guided by the theoretical framework of ecological dynamics.   You can read Ben's work HERE [https://shura.shu.ac.uk/cgi/facet/simple2?q=Ben+Strafford&_action_search=Search&_action_search=Search&_order=bytitle&basic_srchtype=ALL&_satisfyall=ALL].     Make sure to like, subscribe, and give us a rating. You can follow us on X (Twitter) ⁠⁠HERE⁠⁠ [https://twitter.com/SRR_Podcast]to get in touch. Tune in next Monday for more interesting research in sport!     Music from #Uppbeat (free for Creators!):  https://uppbeat.io/t/matrika/new-adventure  License code: 0CMQNQ9UIUM09ZDL