A multi-level refinement approach towards the classification of quotidian activities using accelerometer data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-018-1110-y.pdf
Reference33 articles.
1. Amft O, Kusserow M, Tröster G (2007) Probabilistic parsing of dietary activity events. In: 4th international workshop on wearable and implantable body sensor networks (BSN 2007). Springer, pp 242–247
2. Amft O, Bannach D, Pirkl G, Kreil M, Lukowicz P (2010) Towards wearable sensing-based assessment of fluid intake. In: Pervasive computing and communications workshops (PERCOM Workshops), 2010 8th IEEE international conference on, IEEE, pp 298–303
3. Amft O, Tröster G (2008) Recognition of dietary activity events using on-body sensors. Artif Intell Med 42(2):121–136
4. Anguita D, Ghio A, Oneto L, Parra X, Reyes-Ortiz JL (2013) A public domain dataset for human activity recognition using smartphones. In: ESANN
5. de Arriba-Pérez F, Caeiro-Rodríguez M, Santos-Gago JM (2018) How do you sleep? Using off the shelf wrist wearables to estimate sleep quality, sleepiness level, chronotype and sleep regularity indicators. J Ambient Intell Hum Comput 9(4):897–917
Cited by 12 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. A multi-channel hybrid deep learning framework for multi-sensor fusion enabled human activity recognition;Alexandria Engineering Journal;2024-03
2. Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring;Computer Methods and Programs in Biomedicine;2022-06
3. A novel representation in genetic programming for ensemble classification of human motions based on inertial signals;Expert Systems with Applications;2021-12
4. A Survey of Vision-Based Transfer Learning in Human Activity Recognition;Electronics;2021-10-02
5. Intelligent fall detection system using traditional and non-traditional machine learning algorithm based on MQTT;PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS ENGINEERING & TECHNOLOGY (ICAMET 2020);2021
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