Proceedings ArticleDOI
RunBuddy: a smartphone system for running rhythm monitoring
Tian Hao,Guoliang Xing,Gang Zhou +2 more
- pp 133-144
TLDR
RunBuddy is designed to be a convenient and unobtrusive exercise feedback system that correctly measures the running rhythm for indoor/outdoor running 92:7% of the time and provides detailed physiological profile of running that can help users better understand their running process and improve exercise self-efficacy.Abstract:
As one of the most popular exercises, running is accomplished through a tight cooperation between the respiratory and locomotor systems. Research has suggested that a proper running rhythm -- the coordination between breathing and strides -- helps improve exercise efficiency and postpone fatigue. This paper presents RunBuddy -- the first smartphone-based system for continuous running rhythm monitoring. RunBuddy is designed to be a convenient and unobtrusive exercise feedback system, and only utilizes commodity devices including smartphone and Bluetooth headset. A key challenge in designing RunBuddy is that the sound of breathing typically has very low intensity and is susceptible to interference. To reliably measure running rhythm, we propose a novel approach that integrates ambient sensing based on accelerometer and microphone, and a physiological model called Locomotor Respiratory Coupling (LRC), which indicates possible ratios between the stride and breathing frequencies. We evaluate RunBuddy through experiments involving 13 subjects and 39 runs. Our results show that, by leveraging the LRC model, RunBuddy correctly measures the running rhythm for indoor/outdoor running 92:7% of the time. Moreover, RunBuddy also provides detailed physiological profile of running that can help users better understand their running process and improve exercise self-efficacy.read more
Citations
More filters
Journal ArticleDOI
C-FMCW Based Contactless Respiration Detection Using Acoustic Signal
TL;DR: This paper proposes a Correlation based Frequency Modulated Continuous Wave method (C-FMCW) which is able to achieve high ranging resolution and detects respiration in real environments with the median error lower than 0.35 breaths/min, outperforming the state-of-the-arts.
Journal ArticleDOI
Towards a Diffraction-based Sensing Approach on Human Activity Recognition
TL;DR: It is argued that a deep understanding of radio signal propagation in wireless sensing is needed, and it may be possible to develop a deterministic sensing model to make the signal variation patterns predictable, and this model is proposed to quantitatively determine the signal change with respect to a target's motions.
Proceedings ArticleDOI
FitCoach: Virtual fitness coach empowered by wearable mobile devices
TL;DR: FitCoach is developed, a virtual fitness coach leveraging users' wearable mobile devices to assess dynamic postures (movement patterns & positions) in workouts to help the user to achieve effective workout and prevent injury.
Journal ArticleDOI
Contactless Methods For Measuring Respiratory Rate: A Review
TL;DR: The main fields of use where contactless respiratory monitoring is important are introduced and a taxonomy to classify the most popular contactless techniques for ${ f}_{ R}$ monitoring is provided.
Journal ArticleDOI
Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing Training
Chen-Hsuan (Iris) Shih,Naofumi Tomita,Yanick Xavier Lukic,Alvaro Hernandez Reguera,Elgar Fleisch,Tobias Kowatsch +5 more
TL;DR: Breeze, a mobile application that uses a smartphone's microphone to continuously detect breathing phases, which then trigger a gamified biofeedback-guided breathing training, is presented, suggesting that Breeze could potentially be utilized in clinical and self-care activities.
References
More filters
Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Proceedings ArticleDOI
A reliable and accurate indoor localization method using phone inertial sensors
TL;DR: This paper addresses reliable and accurate indoor localization using inertial sensors commonly found on commodity smartphones, and builds an end-to-end localization system integrating these modules and an indoor floor map, without the need for infrastructure assistance.
Proceedings ArticleDOI
The Jigsaw continuous sensing engine for mobile phone applications
TL;DR: The design, implementation and evaluation of the Jigsaw continuous sensing engine is presented, which balances the performance needs of the application and the resource demands of continuous sensing on the phone, to demonstrate its capability to recognize user activities and perform long term GPS tracking in an energy-efficient manner.
Journal ArticleDOI
Running and breathing in mammals
TL;DR: Phase locking of limb and respiratory frequency has now been recorded during treadmill running in jackrabbits and during locomotion on solid ground in dogs, horses, and humans, suggesting that strict locomotor-respiratory coupling may be a vital factor in the sustained aerobic exercise of endothermic vertebrates, especially those in which the stresses of locomotion tend to deform the thoracic complex.