On the use of ensemble of classifiers for accelerometer-based activity recognition
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Various sensors such as camera sensor, microphone sensor, accelerometer sensor, and gyroscope sensor were used in healthcare-based applications.
“Various sensors such as camera sensor [53–55], microphone sensor [56–58], accelerometer sensor [59–61], and gyroscope sensor [59, 62] were used in the healthcare-based applications.”
From Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective (2020) · cites this paper as [59]
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Activity recognition using cell phone accelerometers
Kwapisz, J. R., Weiss, G. M., & Moore, S. A. (2011) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1964897.1964918 · Cited by 2,912 · see citing works
A Study on Human Activity Recognition Using Accelerometer Data from Smartphones
Bayat, A., Pomplun, M., & Tran, D. A. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.07.009 · Cited by 531 · see citing works
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A comprehensive review on ensemble deep learning: Opportunities and challenges
Mohammed, A., & Kora, R. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.01.014 · Cited by 1,127 · see citing works
Ensemble of keyword extraction methods and classifiers in text classification
Onan, A., Korukoğlu, S., & Bulut, H. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.03.045 · Cited by 630 · see citing works
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
Ravi, D., Wong, C., Lo, B., & Yang, G.-Z. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2633287 · Cited by 439 · see citing works
A survey on wearable sensor modality centred human activity recognition in health care
Wang, Y., Cang, S., & Yu, H. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.04.057 · Cited by 409 · see citing works
Demrozi, F., Pravadelli, G., Bihorac, A., & Rashidi, P. (2020) · IEEE Access · doi:10.1109/access.2020.3037715 · Cited by 368 · see citing works
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
Challa, S. K., Kumar, A., & Semwal, V. B. (2022) · The Visual Computer · doi:10.1007/s00371-021-02283-3 · Cited by 338 · see citing works
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Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble
Sena, J., Barreto, J., Caetano, C., Cramer, G., & Schwartz, W. R. (2021) · Neurocomputing · doi:10.1016/j.neucom.2020.04.151 · Cited by 81 · see citing works
Deep Fisher discriminant learning for mobile hand gesture recognition
Li, C., Xie, C., Zhang, B., Chen, C., & Han, J. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.12.023 · Cited by 72 · see citing works
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Human Activity Recognition Using Wearable Sensors: Review, Challenges, Evaluation Benchmark
Abdel-Salam, R., Mostafa, R., & Hadhood, M. (2021) · Communications in Computer and Information Science · doi:10.1007/978-981-16-0575-8_1 · Cited by 60 · see citing works
Siamese Networks for Weakly Supervised Human Activity Recognition
Sheng, T., & Huber, M. (2019) · 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) · doi:10.1109/smc.2019.8914045 · Cited by 21 · see citing works
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A Recurrent Neural Network Optimization Method for Anticipation of Hierarchical Human Activity
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- Authors
- Catal, C., Tufekci, S., Pirmit, E., & Kocabag, G.
- Affiliations
- Istanbul Kültür University (TR)
- Corresponding author
- Catal, Cagatay
- ORCID
- Catal, Cagatay
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 37
- Pages
- 1018-1022
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W1968670561
- Cited by
- 240
- References
- 2
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 17 · 2023: 23 · 2022: 29 · 2021: 26 · 2020: 39 · 2019: 26 · 2018: 35 · 2017: 16 · 2016: 13 · 2015: 5
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Soft Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- activity recognition, accelerometer, ensemble classifiers, J48 decision tree, multilayer perceptron, logistic regression, WISDM dataset, mobile devices, wearable sensors
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