We propose a human behavioural classification based on the use of a one-dimensional local binary pattern (LBP), combined with a Probabilistic Neural Net (PNN) ...
However, it has been shown that using ML on data collected using wearable devices (e.g., smartwatches) can reliably distinguish between smoking-related hand ...
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Abstract—Smoking is a commonly observed habit worldwide, and is a major cause of disease leading to death. Many techniques have been established in medical ...
We propose a human behavioural classification based on the use of a one-dimensional local binary pattern (LBP), combined with a Probabilistic Neural Net (PNN) ...
Feb 22, 2019 · This study describes a novel method to detect smoking events by monitoring the regularity of hand gestures.
Missing: Dynamics. | Show results with:Dynamics.
(2020) Behavioural Smoking Identification via Hand-Movement Dynamics. In: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted ...
Ideally, we should be able to use wrist- worn wearables to also detect patterns of hand movement that correspond to other key behaviors such as smoking and ...
Behavioural Smoking Identification via Hand-Movement Dynamics. Conference Paper. Full-text available. Aug 2019. Mohamed Benouis ...
For example, a person may start a smoking gesture by having his hand lie on an armrest of a chair, then move his hands towards his mouth, then back to the ...
Dynamic models of stress-smoking responses based on high ... - Nature
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Nov 23, 2021 · Puffs were identified from patterns of hand-to-mouth gestures and respiration cycles. Features extracted consisted of inhalation and ...
Missing: Behavioural | Show results with:Behavioural