Personal Trainer/Runners coach - auto adjusting workout planner #5376
Replies: 1 comment
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Posted at 2022-11-14 by @gfwilliams
Well, if you have a bluetooth ECG it can effectively replace the Bangle's built-in HRM (at least as far as your app is concerned). So you can always develop with that if you have problems with the Bangle's HRM and then later when it gets better you can use that. ... but generally all light-based heart rate monitors do struggle if you're moving your arm around a lot - so if you're doing serious exercise an ECG is probably the way to go anyway, regardless of if you're using a Bangle or not
Personally, I think if you can do it all in the Bangle, that'd be better. It'd then work for iOS users - and sometimes it's nice not to have to take your phone with you. Posted at 2022-11-16 by Fteacher To answer the question in this thread,
Attachments: Posted at 2022-11-16 by @thyttan @gfwilliams Thanks for the input! @FTeacher
Maybe we open a fork of it on one of our own repositories to develop together and do PRs to that and when we want to add it to the official app loader we either suggest to merge into the Run app or a new app? Posted at 2022-11-16 by Fteacher Disappointingly, I don't code at all @thyttan . Posted at 2022-11-16 by @thyttan Ah, I see! Ideas, mockups and testing are certainly helpful anyways! You wouldn't by chance also be a scientific-papers-finding demon? 😉 If we could find one we like that's easy to just convert to an app I think that could speed up getting to a good place by quite much. Preferably one that's pretty step-by-step and specific about an implementation... Posted at 2022-11-17 by Fteacher I'm into scientific papers because I'm into a master's degree to become elearning project manager, but because I study, I have really little time for looking for docs for anything else :/ ! Posted at 2022-11-17 by @thyttan Added a bunch of papers that could be of interest in the opening post. |
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Posted at 2022-11-12 by @thyttan
This thread will be used to collect resources for and hopefully discuss development of a future app for generative workout planning based on physiological indicators such as sleep, previous workouts, etc.
As mentioned here.
One implementation tested here on the Running Channel on youtube:
Papers for inspiration:
Ferreira A, Coelho J, Nogueira N. Wearables with Heart Rate Monitors and
Dynamic Workout Plans. 2018
Toon De Pessemier and Luc Martens. Heart rate monitoring, activity
recognition, and recommendation for e-coaching. Multimedia Tools and
Applications, Jan 2018.
Andrew A. Flatt and Michael R Esco. Evaluating individual training
adaptation with smartphone-derived heart rate variability in a collegiate
female soccer team. The Journal of Strength and Conditioning Research,
30(2):378–385, February 2016.
Gabriele Bleser, Daniel Steffen, Attila Reiss, Markus Weber, Gustaf
Hendeby, and Laetitia Fradet. Personalized Physical Activity Monitoring
Using Wearable Sensors, pages 99–124. Springer International Publish-
ing, Cham, 2015. (Preceding thesis here)
Steven Vos, Carine Lallemand, Aarnout Brombacher, Jos Goudsmit, Mark Janssen & Coen Lauwerijssen 2020, ‘How Do Runners Experience Personalization of Their Training Scheme: The Inspirun E-Coach?’, Sensors, vol. 20, no. 16,
Guo X, Liu J, Chen Y. When your wearables become your fitness mate. Smart Health. 2020;16.
Guo, Xiaonan, Jian Liu and Yingying Chen. “FitCoach: Virtual fitness coach empowered by wearable mobile devices.” IEEE INFOCOM 2017 - IEEE Conference on Computer Communications (2017): 1-9.
Aliverti A, Evangelisti M, Angelucci A. Wearable Tech for Long-Distance Runners. Springer Berlin Heidelberg; 2022.
Things to consider:
I will be adding to this opening comment.
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