Deep-BEJT: A New Human Activity Recognition System based on Beta Elliptical Joint Trajectory (BEJT) and Long Short Term Memory (LSTM)

Sawsen, Ghabri; Ouarda, Wael; Boubaker, Houcine; Ben Khelifa, Mohamed Moncef; Alimi, Adel

doi:10.36227/techrxiv.13991198.v1

DeepBEJT_A_New_Human_Activity_Recognition_System_based_on_Beta_Elliptical_Joint_Trajectory_BEJT_and_Long_Short_Term_Memory_LSTM_2020_12_21_01_42 (1).pdf (1.25 MB)

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Deep-BEJT: A New Human Activity Recognition System based on Beta Elliptical Joint Trajectory (BEJT) and Long Short Term Memory (LSTM)

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posted on 2021-02-16, 16:36 authored by Ghabri SawsenGhabri Sawsen, Wael OuardaWael Ouarda, Houcine Boubaker, Mohamed Moncef Ben Khelifa, Adel AlimiAdel Alimi

Deep-BEJT: A New Human Activity Recognition System basedon Beta Elliptical Joint Trajectory (BEJT) and Long Short TermMemory (LSTM)

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https://drive.google.com/file/d/1_jzXXC0Z87W5lJntQJvMEJ-py_u6_8NG/view?usp=sharing

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sawsen.ghabri.s@ieee.org

ORCID of Submitting Author

2020-TSI-ENIS-0360

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ENIS

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Tunisia

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Humman Activity Recognition,Joint Trajectory Beta Elliptic model BEJT LSTM

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CC BY 4.0

Deep-BEJT: A New Human Activity Recognition System based on Beta Elliptical Joint Trajectory (BEJT) and Long Short Term Memory (LSTM)

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