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On the applicability of clinical observation tools for human activity annotation.

, , , , , and . PerCom Workshops, page 129-134. IEEE, (2017)

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Model-based Inference Techniques for detecting High-Level Team Intentions., , , and . BMI Book, volume 3 of Ambient Intelligence and Smart Environments, page 257-288. IOS Press, (2009)Generic Performance Metrics for Continuous Activity Recognition., and . KI, volume 7006 of Lecture Notes in Computer Science, page 139-143. Springer, (2011)Towards energy efficient sensor nodes for online activity recognition., , , , , , and . IECON, page 8291-8296. IEEE, (2017)Energy Efficient On-Sensor Processing for Online Activity Recognition., , , , , , and . PECCS, page 223-230. SciTePress, (2018)On the applicability of clinical observation tools for human activity annotation., , , , , and . PerCom Workshops, page 129-134. IEEE, (2017)Challenges of collecting empirical sensor data from people with dementia in a field study., , , , and . PerCom Workshops, page 22-25. IEEE, (2017)Plan Synthesis for Probabilistic Activity Recognition., , , and . ICAART (2), page 283-288. SciTePress, (2013)Time and Memory Efficient Online Piecewise Linear Approximation of Sensor Signals., , , , and . Sensors, 18 (6): 1672 (2018)Marginal filtering in large state spaces., , , , and . Int. J. Approx. Reasoning, (2015)Utilizing an Accelerometric Bracelet for Ubiquitous Gesture-Based Interaction., , and . HCI (6), volume 5615 of Lecture Notes in Computer Science, page 519-527. Springer, (2009)