Detecting Breathing Frequency and Maintaining a Proper Running Rhythm
Running is a kind of whole body movement, which enables the whole body muscle rhythmic contraction and relaxation. A stable and harmonic running rhythm cannot only postpone runners' fatigue but also improve their exercise effectiveness. The paper presents an effective method of detecting runner's breathing frequency continuously and maintaining a stable running rhythm during running. Bluetooth headsets, smartphones and heart rate belts are utilized to obtain the sensed data, such as striding frequency, breathing frequency and heart rate. We propose a novel approach to calibrate the sensed data by integrating ambient sensed data with a physiological model called Locomotor Respiratory Coupling (LRC), which indicates possible ratios between the striding and breathing frequencies. In order to help the runner maintain a stable running rhythm, we use a proper music recommended by the server based on the history of the sensed data to encourage the runner to accelerate, decelerate or keep the running speed and breathe properly. Our method has been validated by extensive experiments and the experimental results indicate that it can accurately detect the breathing frequency and maintain a stable running rhythm for runners.
F. Gu et al., "Detecting Breathing Frequency and Maintaining a Proper Running Rhythm," Pervasive and Mobile Computing, vol. 42, pp. 498 - 512, Elsevier, Dec 2017.
The definitive version is available at https://doi.org/10.1016/j.pmcj.2017.06.015
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Physiological models; Breathing frequency; Heart rates; Locomotor respiratory coupling (LRC); Running rhythm; Striding frequency; Heart
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Elsevier, All rights reserved.
01 Dec 2017