Behavior Recognition

At CogniTech, we develop on-line, automated method for integrated behavior learning and recognition based on multiple sensors placed in the environment. Our system performs automatic segmentation into activity primitives and cluster similar segments incrementally as they are observed, to form models of commonly performed activities. Such a fully autonomous system is capable of adapting when a new activity is added, or when activity performance changes over time. The information gained from behavior recognition can be vital for building situational awareness, and can also be used as training data for imitation learning of the assistive environments, as well as detecting when assistance should be offered.

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