Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing Training
| Autor: | Yanick Xavier Lukic, Chen-Hsuan (Iris) Shih, Naofumi Tomita, Elgar Fleisch, Alvaro Hernandez Reguera, Tobias Kowatsch |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer Networks and Communications
Computer science medicine.medical_treatment Biofeedback Breathing sounds computer science Breathing Training 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine medicine Heart rate variability 0501 psychology and cognitive sciences Simulation Cardiac functioning 05 social sciences digestive oral and skin physiology Digital Health Interventions Training (meteorology) information management Active control Digital Health Human-Computer Interaction Hardware and Architecture Breathing social sciences 030217 neurology & neurosurgery |
| Zdroj: | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3 (4) |
| ISSN: | 2474-9567 |
| Popis: | Slow-paced biofeedback-guided breathing training has been shown to improve cardiac functioning and psychological well-being. Current training options, however, attract only a fraction of individuals and are limited in their scalability as they require dedicated biofeedback hardware. In this work, we present Breeze, a mobile application that uses a smartphone's microphone to continuously detect breathing phases, which then trigger a gamified biofeedback-guided breathing training. Circa 2.76 million breathing sounds from 43 subjects and control sounds were collected and labeled to train and test our breathing detection algorithm. We model breathing as inhalation-pause-exhalation-pause sequences and implement a phase-detection system with an attention-based LSTM model in conjunction with a CNN-based breath extraction module. A biofeedback-guided breathing training with Breeze takes place in real-time and achieves 75.5% accuracy in breathing phases detection. Breeze was also evaluated in a pilot study with 16 new subjects, which demonstrated that the majority of subjects prefer Breeze over a validated active control condition in its usefulness, enjoyment, control, and usage intentions. Breeze is also effective for strengthening users' cardiac functioning by increasing high-frequency heart rate variability. The results of our study suggest that Breeze could potentially be utilized in clinical and self-care activities. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3 (4) ISSN:2474-9567 |
| Databáze: | OpenAIRE |
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