Breath mobile

Filho, Jackson Feijó; Prata, Wilson; Valle, Thiago

doi:10.1145/2371664.2371697

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…Existing research in HCI has explored breath exhalations for mobile phone interface control as an alternative interaction technology for people with restricted motor movements [3], for biofeedback based breathing enhancement using VR [11], for controlling game interfaces [1]. Vesicular breath patterns have also been known to have sound frequencies, ranging from 60Hz -600Hz [4], with forced exhales and wheezing sounds ranging from 350-950Hz [7].…”

Section: Related Workmentioning

confidence: 99%

Breathin

Hundia

Quigley

2019

Proceedings of the 31st Australian Conference on Human-Computer-Interaction

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New interaction modalities in human computer interaction often explore common sensory inputs including touch, voice, gesture or motion. However, these modalities are not inclusive of the entire population type, and cannot be utilized by a group of people who suffer from any limitation of that sensory input. Here we propose BreathIn: an interface tool for enabling interaction with computer applications by using discreet exhalation patterns. The intent is that such patterns can be issued by anyone who can breathe. Our concept is based on detecting a user's forced exhalation patterns in a time duration using a MEMS microphone placed below the user's nose. We breakdown the signal into FFT components and identify peak frequencies for forced voluntary "breath events" and use that in real-time to distinguish between "exhalation events" and noise. We show two major applications of such an interaction tool: a) adaptation of computer applications using breath, b) using the breath interface as a discreet, emergency signal for prospective victims of crime. CCS CONCEPTS • Human-centered interaction → Human computer interaction; Interaction techniques;

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Section: Related Workmentioning

confidence: 99%

Breathin

Hundia

Quigley

2019

Proceedings of the 31st Australian Conference on Human-Computer-Interaction

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Adaptive Blowing Interaction Method Based on a Siamese Network

et al. 2020

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Breathing is a natural and directly controllable human activity. Currently, some works have considered breath as a direct input controlling mechanism. The equipment relied upon in these works is generally complicated, expensive, inconvenient to wear, and sometimes insufficiently controllable. The use of breathing interaction is also limited to a certain scene and is not universal. This paper proposes an adaptive interaction method, which is a natural and directly controllable interaction based on blowing air that only uses headset microphones to obtain the sound waveform of the blowing action without requiring expensive equipment, and that can be used conveniently anytime and anywhere. This blowing interaction uses a Siamese network to achieve "self-adaptation"-the first step adapts to noise interference, including environmental noise and the user's own speaking interference, and the second step adapts to different users and equipment, that is, the blowing interaction is used by different people or on different equipment, and the interaction mode can accurately identify the type of blowing. This paper also develops several applications of the blowing interaction method to test the algorithm. During tests, it's proved that this interface not only increases the type of blowing used for interaction but also eliminates interference from speaking in a normal volume effectively and addresses the problem of individual differences.

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Pufftext

Filho¹,

Prata

Valle³

2013

Proceedings of the 15th International Conference on Human-Computer Interaction With Mobile Devices and Services

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This work proposes the use of a low-cost softwarebased puff controlled hands-free spinning keyboard for mobile phones as an alternative interaction technology for people with motor disabilities. It attempts to explore the processing of the audio from the microphone in mobile phones to select characters from a spinning keyboard. A proof of concept of this work is demonstrated by the implementation and experimentation of a mobile application prototype that enables users to perform text input through "puffing" interaction.

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Breath mobile

Cited by 6 publications

References 2 publications

Breathin

Breathin

Adaptive Blowing Interaction Method Based on a Siamese Network

Pufftext

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