In this paper, we propose to use a two-layer hierarchical smoking detection algorithm (HLSDA) that uses a classifier at the first layer, followed by a lazy ...

A two-layer hierarchical smoking detection algorithm (HLSDA) that uses a classifier at the first layer, followed by a lazy context-rule-based correction ...

In this paper, we propose to use a two-layer hierarchical smoking detection algorithm (HLSDA) that uses a classifier at the first layer, followed by a lazy ...

Abstract—Smoking is known to be one of the main causes for premature deaths. A reliable smoking detection method can enable applications for an insight into ...

Nov 21, 2016 · In this paper, we propose to use a two-layer hierarchical smoking detection algorithm (HLSDA) that uses a classifier at the first layer, ...

Dive into the research topics of 'A hierarchical lazy smoking detection algorithm using smartwatch sensors'. Together they form a unique fingerprint. Sort by ...

Muhammad Shoaib, Hans Scholten, Paul J. M. Havinga, Özlem Durmaz Incel : A hierarchical lazy smoking detection algorithm using smartwatch sensors.

Feb 5, 2021 · This study provides preliminary evidence of ASPIRE's potential to accurately and reliably detect smoking characteristics passively and in real-time.

Jul 16, 2021 · We present a smoking cessation system utilizing a smartwatch and finger sensor that is capable of detecting pre-smoking activities to discourage users from ...

In this paper, we investigate the smoking recognition problem with motion sensors on smartwatches using supervised learning algorithms. For this purpose, we ...