Deploying human activity recognition in embedded RISC-V processors
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Cites
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Ordóñez, F., & Roggen, D. (2016) · Sensors · doi:10.3390/s16010115 · Cited by 2,761 · cited 2× · see citing works
“Ordóñez and Roggen [24] proposed a new DNN framework designed for activity recognition using wearable sensors.”
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Micucci, D., Mobilio, M., & Napoletano, P. (2017) · doi:10.20944/preprints201706.0033.v1 · Cited by 596 · see citing works
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Micucci, D., Mobilio, M., & Napoletano, P. (2017) · Applied Sciences · doi:10.3390/app7101101 · Cited by 596 · see citing works
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
Jung, S., Son, C., Lee, S., Son, J., Han, J.-J., Kwak, Y., Hwang, S. J., & Choi, C. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00448 · Cited by 385 · see citing works
Protecting Sensory Data against Sensitive Inferences
Malekzadeh, M., Clegg, R. G., Cavallaro, A., & Haddadi, H. (2018) · Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems · doi:10.1145/3195258.3195260 · Cited by 154 · see citing works
Zebin, T., Sperrin, M., Peek, N., & Casson, A. J. (2018) · 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513115 · Cited by 107 · see citing works
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- Authors
- Nunes, W. A., Reusch, R. S., Luza, L., Bernardon, E., Dal Zotto, A. E., Juracy, L. R., & Moraes, F. G.
- Affiliations
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- Corresponding author
- Moraes, Fernando Gehm
- ORCID
- Venue
- Design Automation for Embedded Systems
- Published
- 2024-11-16
- Volume
- 28
- Issue
- 3-4
- Pages
- 187-217
- ISSN
- 0929-5585 (ISSN-L)
- 1572-8080
- OpenAlex
- W4404432711
- Cited by
- 0
- References
- 6
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Design Automation for Embedded Systems (publishedVersion, public-domain)
- Research Square (acceptedVersion, cc-by)
- Funders
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (21/2551-0002047-4 and 23/2551-0002200-1)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Finance Code 001)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (309605/2020-2 and 407829/2022-9)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Hardware and Architecture › Embedded Systems Design Techniques
- Keywords
- human activity recognition, RISC-V processor, embedded systems, convolutional neural networks, model quantization, 1D convolutional neural network, wearable devices, low-power deployment, memory optimization, health monitoring
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