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.
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.
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,
Aliverti A, Evangelisti M, Angelucci A. Wearable Tech for Long-Distance Runners. Springer Berlin Heidelberg; 2022.
Things to consider:
Is it worth putting any effort into this before HRM is better? I've not really tested myself, but I've read on the forum that while it has improved, HRM could probably get more reliable with more tinkering.
Should all this live in the bangle app, or some of it live in e.g. Gadgetbridge?
Espruino is a JavaScript interpreter for low-power Microcontrollers. This site is both a support community for Espruino and a place to share what you are working on.
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.