Investigating postural sway features, normalization and personalization in detecting blood alcohol levels of smartphone users
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7764434/7764547/07764559.pdf?arnumber=7764559
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analysis of Different Supervised Machine Learning Methods for Accelerometer-Based Alcohol Consumption Detection from Physical Activity;Advances in Science, Technology and Engineering Systems Journal;2022-08
2. A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends;IEEE Internet of Things Journal;2022-06-15
3. Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness;Journal of Substance Abuse Treatment;2021-08
4. Alcohol Use Disorder in the Age of Technology: A Review of Wearable Biosensors in Alcohol Use Disorder Treatment;Frontiers in Psychiatry;2021-03-22
5. An Electronic Equipment with Face Recognition Capacity Oriented to Measuring the Alcoholic Level in People;Communications in Computer and Information Science;2021
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