登录 注册 会员服务 联系我们

A Performance Evaluation of Machine Learning Models on Human Activity Identification (HAI)

  • Published:2021 Issue: Volume: Page:256-265
  • ISSN:2194-5357
  • Container-title:Advances in Intelligent Systems and Computing
  • language:
  • Short-container-title:

Author:

Rafi Taki Hasan,Farhan Faisal

Publisher

Springer International Publishing

Reference23 articles.

1. Lee, S.M., Yoon, S.M., Cho, H.: Human activity recognition from accelerometer data using convolutional Neural Network. In: 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 131–134. Jeju (2017) https://doi.org/10.1109/BIGCOMP.2017.7881728.

2. Babiker, M., Khalifa, O.O., Htike, K.K., Hassan, A., Zaharadeen, M.: Automated daily human activity recognition for video surveillance using neural network. In: 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), pp. 1–5. Putrajaya (2017). https://doi.org/10.1109/ICSIMA.2017.8312024.

3. Liu, C., Ying, J., Han, F., Ruan, M.: Abnormal human activity recognition using bayes classifier and convolutional neural network. In: 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), pp. 33–37. Shenzhen (2018). https://doi.org/10.1109/SIPROCESS.2018.8600483.

4. Patel, A.D., Shah, J.H.: Performance Analysis of Supervised Machine Learning Algorithms to Recognize Human Activity in Ambient Assisted Living Environment. In: 2019 IEEE 16th India Council International Conference (INDICON), pp. 1–4. Rajkot, India (2019). https://doi.org/10.1109/INDICON47234.2019.9030353

5. Mekruksavanich, S., Jitpattanakul, A.: Exercise activity recognition with surface electromyography sensor using machine learning approach. In: 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), pp. 75–78. Pattaya, Thailand (2020). https://doi.org/10.1109/ECTIDAMTNCON48261.2020.9090711.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ANN based approach to predict criminal trends in Bangladesh;2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP);2022-02-12
同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3