Facilitation and Inhibition of Breathing During Changes in Emotion

Umezawa, Akio

doi:10.1007/978-4-431-67901-1_14

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…This correlation can be seen in Figure 12 , i.e. , the greater score in this factor, the heavier the participant’s breathing or the more nervous they are [ 48 ].…”

Section: Resultsmentioning

confidence: 99%

Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction

Uriarte

Garcia‐Zapirain

Garcia-Chimeno

2015

Sensors

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This paper presents a multi-sensor system for implementing biofeedback as a human-computer interaction technique in a game involving driving cars in risky situations. The sensors used are: Eye Tracker, Kinect, pulsometer, respirometer, electromiography (EMG) and galvanic skin resistance (GSR). An algorithm has been designed which gives rise to an interaction logic with the game according to the set of physiological constants obtained from the sensors. The results reflect a 72.333 response to the System Usability Scale (SUS), a significant difference of p = 0.026 in GSR values in terms of the difference between the start and end of the game, and an r = 0.659 and p = 0.008 correlation while playing with the Kinect between the breathing level and the energy and joy factor. All the sensors used had an impact on the end results, whereby none of them should be disregarded in future lines of research, even though it would be interesting to obtain separate breathing values from that of the cardio.

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“…This correlation can be seen in Figure 12 , i.e. , the greater score in this factor, the heavier the participant’s breathing or the more nervous they are [ 48 ].…”

Section: Resultsmentioning

confidence: 99%

Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction

Uriarte

Garcia‐Zapirain

Garcia-Chimeno

2015

Sensors

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“…Anxiety is the commonest factor thought to influence breathing, and it has been noted to cause increased inspiratory flow rate, breathing to become faster and shallower, and/or involve breath holding. 23,42 Subjects with BPD have been observed to have higher anxiety levels than the normal population. 43 Tasks involving prolonged or intense concentration have also been shown to alter breathing patterns.…”

Section: Mechanisms Underlying Breathing Pattern Disordersmentioning

confidence: 99%

Breathing pattern disorders and physiotherapy: inspiration for our profession

CliftonSmith¹,

Rowley²

2011

Physical Therapy Reviews

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Background: Breathing pattern disorders (BPDs), historically known as hyperventilation syndrome, are being increasingly recognized as an entity of their own. Breathing patterns reflect the functioning of the respiratory system and the biomechanical system as well as the cognitive state. Clinical relevance: It is essential, therefore, that physiotherapists from all areas of specialty consider the assessment and treatment of a patient's breathing pattern. New literature is emerging which underpins the relevance of BPD in patients with lung disease, anxiety, and also in the comparatively new area of sport performance. Physiotherapists are well placed to treat people with disordered breathing because of their clinical skills and comprehensive knowledge base. Current treatment is briefly reviewed in this paper, and trends for future treatment are also addressed. Conclusion: The potential for improving the patient's state, by optimizing their breathing pattern in all their activities, is an important development in physiotherapy. It is a developing area of knowledge which is pertinent to physiotherapy practice as it develops in a biopsychosocial model.

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“…Breathing is thought to be a regulator of heart rate variability (HRV), stress perception, and chemoreflexes [ 41 ]; the central respiratory drive mechanism is capable of sensitive changes to emotions [ 42 ]. According to current studies, when people are stressed, their respiratory rate, ventilation per minute, and breathing irregularity increase [ 43 ].…”

Section: Introductionmentioning

confidence: 99%

When Lights Can Breathe: Investigating the Influences of Breathing Lights on Users’ Emotion

Wang

et al. 2022

IJERPH

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Light can significantly influence users’ physiological and behavioural performance. However, how light breathing influences users’ mood regulation remains unknown. To fill this gap, this study conducted a 2-by-2 experiment (N = 20) with light breathing as the between-subject factor and light condition as the within-subject factor. Both physiological indicators and subjective indicators are measured to reflect mood regulation. The data were analysed using a generalised linear mixed model. The results showed that breathing lights are effective in regulating users’ moods. More specifically, breathing lights help users lower their electrodermal values and heart rates. Users did not report any significant difference in terms of subjective measures, which suggest that the influence of a breathing light happens unconsciously. Furthermore, this effect is significant for both cold and warm colour temperatures. Designers and engineers can use the research findings to manage user emotion when necessary.

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Facilitation and Inhibition of Breathing During Changes in Emotion

Cited by 6 publications

References 16 publications

Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction

Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction

Breathing pattern disorders and physiotherapy: inspiration for our profession

When Lights Can Breathe: Investigating the Influences of Breathing Lights on Users’ Emotion

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