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A Deep Ensemble model to Recognize Human Activities using i..:
, In:
2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)
,
Imanzadeh, Soodabeh
;
Tanha, Jafar
;
Razzaghi-Asl, Nazila
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/AISP61396.2024.10475271
RT T1
2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)
: T1
A Deep Ensemble model to Recognize Human Activities using inertial sensors on smartphones
UL https://suche.suub.uni-bremen.de/peid=ieee-10475271&Exemplar=1&LAN=DE A1 Imanzadeh, Soodabeh A1 Tanha, Jafar A1 Razzaghi-Asl, Nazila A1 Mostafaei, Sahar Hassanzadeh A1 Samadi, Negin A1 Tarhib, Sanaz YR 2024 SN 2640-5768 K1 Legged locomotion K1 Inertial sensors K1 Transportation K1 Complexity theory K1 Human activity recognition K1 Reliability K1 Noise measurement K1 Human Activity Recognition K1 Ensemble learning K1 Hybrid Deep Models K1 time series classification K1 real-world dataset K1 smartphone inertial sensors SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AISP61396.2024.10475271 DO https://doi.org/10.1109/AISP61396.2024.10475271 SF ELIB - SuUB Bremen
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