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Artificial Increase of 3D-Skeleton-Data for Human Motion Recognition using supervised SVM and NN
Vox, Jan P., Wallhoff, Frank
Published in IEEE ... International Conference on Intelligent Systems proceedings (Online) (01.09.2018)
Published in IEEE ... International Conference on Intelligent Systems proceedings (Online) (01.09.2018)
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Multi-part boosting LSTMS for skeleton based human activity analysis
Yan Song, Chengcheng Ning, Lingling Fa, Xinran Liu, Xiangbo Shu, Zechao Li, Jinhui Tang
Published in 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (01.07.2017)
Published in 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (01.07.2017)
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Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study
Albert, Justin Amadeus, Owolabi, Victor, Gebel, Arnd, Brahms, Clemens Markus, Granacher, Urs, Arnrich, Bert
Published in Sensors (Basel, Switzerland) (08.09.2020)
Published in Sensors (Basel, Switzerland) (08.09.2020)
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Fusion of Multi-Sensor-Based Biomechanical Gait Analysis Using Vision and Wearable Sensor
Bijalwan, Vishwanath, Semwal, Vijay Bhaskar, Mandal, T. K.
Published in IEEE sensors journal (01.07.2021)
Published in IEEE sensors journal (01.07.2021)
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Deep Learning and SVM-Based Method for Human Activity Recognition with Skeleton Data
Hristov, Plamen, Manolova, Agata, Boumbarov, Ognian
Published in 2020 28th National Conference with International Participation (TELECOM) (29.10.2020)
Published in 2020 28th National Conference with International Participation (TELECOM) (29.10.2020)
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Conference Proceeding