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Toward Practical, In-The-Wild, and Reusable Wearable Activity Classification

Younes, Rabih HalimVirginia Tech2018

Wearable activity classifiers, so far, have been able to perform well with simple activities, strictly-scripted activities, and application-specific activities. In addition, current classification systems suffer from using impractical tight-fitting sensor networks, or only use one loose-fitting …

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