The MusicalHeart biofeedback system using sensor-equipped earphones accurately monitored heart rate (average error 7.5 BPM) and helped users achieve a desired heart rate intensity with <12.2% error.
The MusicalHeart system using sensor-equipped earphones can accurately monitor heart rate and provide dynamic music recommendations to help users maintain a target heart rate.
MusicalHeart is a biofeedback-based, context-aware, automated music recommendation system for smartphones. We introduce a new wearable sensing platform, Septimu, which consists of a pair of sensor-equipped earphones that communicate to the smartphone via the audio jack. The Septimu platform enables the MusicalHeart application to continuously monitor the heart rate and activity level of the user while listening to music. The physiological information and contextual information are then sent to a remote server, which provides dynamic music suggestions to help the user maintain a target heart rate. We provide empirical evidence that the measured heart rate is 75% -- 85% correlated to the ground truth with an average error of 7.5 BPM. The accuracy of the person-specific, 3-class activity level detector is on average 96.8%, where these activity levels are separated based on their differing impacts on heart rate. We demonstrate the practicality of MusicalHeart by deploying it in two real world scenarios and show that MusicalHeart helps the user achieve a desired heart rate intensity with an average error of less than 12.2%, and its quality of recommendation improves over time.
Nirjon et al. (Tue,) reported a other. MusicalHeart (biofeedback-based music recommendation system) was evaluated on Heart rate measurement accuracy, activity level detection accuracy, and target heart rate achievement. The MusicalHeart biofeedback system using sensor-equipped earphones accurately monitored heart rate (average error 7.5 BPM) and helped users achieve a desired heart rate intensity with <12.2% error.