I am beginning to develop a phone app aimedat the fitness market, which will help users to maintain, improve and measuretheir fitness. It will take data from a wireless heart rate monitor (cheststrap), the phone’s GPS sensor and from user input (e.g. weight).
Of course this can already be done (e.g.Runkeeper, CardioTrainer, iFitness) and the app will include all of thefeatures and analysis present in these apps. However, I am also looking toinclude novel features that are not available elsewhere – which is where youcan help!
What I would like to know is the kind ofnovel features that you would find useful in such an app. Are there things likeVO2max and EPOC which could be calculated and which you would find useful? Ihave access to expertise in signal analysis and machine learning – is there anyinformation that might be extracted from the sensor data which you might finduseful, e.g. breathing rate, a measure of the user’s level of fitness (e.g.Conconi test), a measure of when exercise intensity is too high?
Thanks for your time – when (if!) theproduct comes to market I will send each of you who provides useful feedbackwith a free sensor/app as an expression of my gratitude.
Thanks very much,
Tom
Of course this can already be done (e.g.Runkeeper, CardioTrainer, iFitness) and the app will include all of thefeatures and analysis present in these apps. However, I am also looking toinclude novel features that are not available elsewhere – which is where youcan help!
What I would like to know is the kind ofnovel features that you would find useful in such an app. Are there things likeVO2max and EPOC which could be calculated and which you would find useful? Ihave access to expertise in signal analysis and machine learning – is there anyinformation that might be extracted from the sensor data which you might finduseful, e.g. breathing rate, a measure of the user’s level of fitness (e.g.Conconi test), a measure of when exercise intensity is too high?
Thanks for your time – when (if!) theproduct comes to market I will send each of you who provides useful feedbackwith a free sensor/app as an expression of my gratitude.
Thanks very much,
Tom