Literature DB >> 23203771

Multimedia-assisted breathwalk-aware system.

Meng-Chieh Yu1, Huan Wu, Ming-Sui Lee, Yi-Ping Hung.   

Abstract

Breathwalk is a science of combining specific patterns of footsteps synchronized with the breathing. In this study, we developed a multimedia-assisted Breathwalk-aware system which detects user's walking and breathing conditions and provides appropriate multimedia guidance on the smartphone. Through the mobile device, the system enhances user's awareness of walking and breathing behaviors. As an example application in slow technology, the system could help meditator beginners learn "walking meditation," a type of meditation which aims to be as slow as possible in taking pace, to synchronize footstep with breathing, and to land every footstep with toes first. In the pilot study, we developed a walking-aware system and evaluated whether multimedia-assisted mechanism is capable of enhancing beginner's walking awareness while walking meditation. Experimental results show that it could effectively assist beginners in slowing down the walking speed and decreasing incorrect footsteps. In the second experiment, we evaluated the Breathwalk-aware system to find a better feedback mechanism for learning the techniques of Breathwalk while walking meditation. The experimental results show that the visual-auditory mechanism is a better multimedia-assisted mechanism while walking meditation than visual mechanism and auditory mechanism.

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Year:  2012        PMID: 23203771     DOI: 10.1109/TBME.2012.2208747

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

Review 1.  Mindfulness-based mobile applications: literature review and analysis of current features.

Authors:  Inmaculada Plaza; Marcelo Marcos Piva Demarzo; Paola Herrera-Mercadal; Javier García-Campayo
Journal:  JMIR Mhealth Uhealth       Date:  2013-11-01       Impact factor: 4.773

2.  Respiratory Biofeedback Does Not Facilitate Lowering Arousal in Meditation Through Virtual Reality.

Authors:  Angelica M Tinga; Ivan Nyklíček; Michel P Jansen; Tycho T de Back; Max M Louwerse
Journal:  Appl Psychophysiol Biofeedback       Date:  2019-03
  2 in total

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