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1 Ergebnisse
1
Multimodal Sensor Data Fusion and Ensemble Modeling for Hum..:
, In:
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
,
Oh, Se Won
;
Jeong, Hyuntae
;
Chung, Seungeun
.. - p. 546-550 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594739.3610753
RT T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Multimodal Sensor Data Fusion and Ensemble Modeling for Human Locomotion Activity Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3610753&Exemplar=1&LAN=DE A1 Oh, Se Won A1 Jeong, Hyuntae A1 Chung, Seungeun A1 Lim, Jeong Mook A1 Noh, Kyoung Ju PB ACM YR 2023 K1 Activity recognition K1 Human locomotion K1 Machine learning K1 Multimodal sensors K1 Neural networks K1 SHL Dataset K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 546 OP 550 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610753 DO https://dl.acm.org/doi/10.1145/3594739.3610753 SF ELIB - SuUB Bremen
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