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A mobile application for recognizing symbolic gestures
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由 J Bandy 著作2016被引用 5 次 — In this demonstration, we present HighFiveLive, a smartwatch application that uses data from an onboard accelerometer to detect and classify fine-grained ...
A mobile application for recognizing symbolic gestures
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PDF | On Mar 1, 2016, Jack Bandy and others published Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures | Find, ...
Demonstrating HighFiveLive: A mobile application for ...
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由 J Bandy 著作2016被引用 5 次 — Building on this work, we deploy the learned model in our HighFiveLive mobile application, which detects and classifies symbolic gestures in real-time as they ...
A mobile application for recognizing symbolic gestures
Semantic Scholar
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HighFiveLive is presented, a smartwatch application that uses data from an onboard accelerometer to detect and classify fine-grained symbolic gestures, ...
A mobile application for recognizing symbolic gestures
IEEE Xplore
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由 J Bandy 著作2016被引用 5 次 — HighFiveLive is a smartwatch-based application that detects and classifies symbolic gestures as they are performed. Below, we describe the offline training ...
Jack Bandy, Ph.D.
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Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures. J Bandy, J Knighten, J Payton. 2016 IEEE International Conference on ...
CN102024151B - 手势动作识别模型的训练方法和 ...
Google Patents
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Google Patents
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2016 Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures. Priority And Related Applications. Priority Applications (1).
Jonathan Knighten
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2024年4月25日 — Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures. ... Recognizing social gestures with a wrist-worn smartband.
Example Symbolic Gestures | Download Scientific Diagram
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Download scientific diagram | Example Symbolic Gestures from publication: Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures ...
CN102867190A - 一种利用移动设备内置传感器进行行为识别的方法
Google Patents
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Google Patents
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2016 Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures. Esther et al. 2023 Predicting Human Activity-State of the Art.