Eintrag in der Universitätsbibliographie der TU Chemnitz
Jmal, Achraf* ;
Barioul, Rim ;
Meddeb Makhlouf, Amel ;
Fakhfakh, Ahmed ;
Kanoun, Olfa
Jmaiel, Mohamed ; Mokhtari, Mounir ; Abdulrazak, Bessam ; Aloulou, Hamdi ; Kallel, Slim (Eds.)
An Embedded ANN Raspberry PI for Inertial Sensor Based Human Activity Recognition
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Print ISBN 978-3-030-51516-4 ; Online ISBN 978-3-030-51517-1 | |
| DOI: | doi:10.1007/978-3-030-51517-1_34 | |
| URL/URN: | https://www.springerprofessional.de/an-embedded-ann-raspberry-pi-for-inertial-sensor-based-human-act/18116752 | |
| Quelle: | The Impact of Digital Technologies on Public Health in Developed and Developing Countries. - Berlin : Springer International Publishing, 2020, S. 375 - 385. - Lecture Notes in Computer Science ; 12157. - 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020 | |
| Freie Schlagwörter (Englisch): | Machine learning , Deep learning , HAR , Embedded ANN , LSTM-RNN , Raspberry PI , Python | |
| OA-Lizenz | CC BY 4.0 |
