Multimodal data fusion Sample Clauses

Multimodal data fusion. This task will focus on the fusion of information coming from multiple sensor data sources and from arrays of sensors, implemented in Task 3.1. Fusion will be accomplished in a probabilistically consistent way using machine learning methods. The result will be improving estimates as to the state of user interaction during walking. Task 3.4: Walking pattern and gesture inference. Higher level inferences as to user activities and gait patterns or styles, and identification of high-level correlates such as intentionality, affect, activity type, and individual xxxxxx identity, will be accomplished using machine learning methods, including techniques extending those of Task 3.3, as well as specific acoustic pattern recognition methods matched to the acoustic sensing methods of Task 3.1. Deliverables
Sample 1
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Related to Multimodal data fusion

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