Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices

arXiv:2403.12323v1 Announce Type: new
Abstract: Alcohol consumption has a significant impact on individuals' health, with even more pronounced consequences when consumption becomes excessive. One approach to promoting healthier drinking habits is implementing just-in-time interventions, where timely notifications indicating intoxication are sent during heavy drinking episodes. However, the complexity or invasiveness of an intervention mechanism may deter an individual from using them in practice. Previous research tackled this challenge using collected motion data and conventional Machine Learning (ML) algorithms to classify …

abstract alcohol arxiv complexity computing consequences consumption cs.lg detection devices embedded embedded devices episodes habits health however impact notifications type