Alternative Deep Learning Architectures for Feature-Level Fusion in Human Activity Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-021-01741-5.pdf
Reference17 articles.
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3. Banos O, Garcia R, Holgado-Terriza JA, Damas M, Pomares H, Rojas I, Saez A, Villalonga C (2014) mhealthdroid: a novel framework for agile development of mobile health applications. In: International workshop on ambient assisted living, Springer, pp 91–98
4. Dang LM, Min K, Wang H, Piran MJ, Lee CH, Moon H (2020) Sensor-based and vision-based human activity recognition: a comprehensive survey. Pattern Recogn 108:107561
5. Debache I, Jeantet L, Chevallier D, Bergouignan A, Sueur C (2020) A lean and performant hierarchical model for human activity recognition using body-mounted sensors. Sensors, 20(11)
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