Human Activity Recognition Based on Convolutional Neural Network via Smart-phone Sensors
Author:
Affiliation:
1. Information and Technology Center, Guangzhou Academy of Fine Arts, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3556384.3556406
Reference19 articles.
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2. Tong Z Wang J Liang X Fall Detection by Wearable Sensor and One-Class SVM Algorithm. J. lecture notes in control & information sciences (2006) 858-863. https://doi.org/10.1007/978-3-540-37258-5_104
3. Sensitive integration of multilevel optimization model in human activity recognition for smartphone and smartwatch applications
4. San Buenaventura C. V Tiglao N. M. C & Atienza R. O. 2019. Deep Learning for Smartphone-Based Human Activity Recognition Using Multi-sensor Fusion. Wireless Internet 65-75. https://doi.org/10.1007/978-3-030-06158-6_7 10.1007/978-3-030-06158-6_7
5. San Buenaventura C. V Tiglao N. M. C & Atienza R. O. 2019. Deep Learning for Smartphone-Based Human Activity Recognition Using Multi-sensor Fusion. Wireless Internet 65-75. https://doi.org/10.1007/978-3-030-06158-6_7
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