Zhang, Mi and Sawchuk, Alexander (2012) A Feature Selection-Based Framework for Human Activity Recognition Using Wearable Multimodal Sensors. In: 6th International ICST Conference on Body Area Networks.
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Abstract
Human activity recognition is important for many applications. This paper describes a human activity recognition framework based on feature selection techniques. The objective is to identify the most important features to recognize human activities. We first design a set of new features (called phys
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 09:42 |
| Last Modified: | 18 Apr 2026 01:15 |
| URI: | http://eprints.eai.eu/id/eprint/7826 |
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