Activity Recognition from User-Annotated Acceleration Data
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-24646-6_1.pdf
Reference26 articles.
1. Aminian, K., Robert, P., Buchser, E.E., Rutschmann, B., Hayoz, D., Depairon, M.: Physical activity monitoring based on accelerometry: validation and comparison with video observation. Medical & Biological Engineering & Computing 37(3), 304–308 (1999)
2. Aminian, K., Robert, P., Jequier, E., Schutz, Y.: Estimation of speed and incline of walking using neural network. IEEE Transactions on Instrumentation and Measurement 44(3), 743–746 (1995)
3. Bao, L.: Physical Activity Recognition from Acceleration Data under Semi-Naturalistic Conditions. M.Eng. Thesis, Massachusetts Institute of Technology (2003)
4. Bouten, C.V., Koekkoek, K.T., Verduin, M., Kodde, R., Janssen, J.D.: A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Transactions on Bio-Medical Engineering 44(3), 136–147 (1997)
5. Bussmann, J.B., Martens, W.L., Tulen, J.H., Schasfoort, F.C., van den Berg- Emons, H.J., Stam, H.J.: Measuring daily behavior using ambulatory accelerometry: the Activity Monitor. Behavior Research Methods, Instruments, & Computers 33(3), 349–356 (2001)
Cited by 1782 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. Human Activity Recognition from Accelerometry, Based on a Radius of Curvature Feature;Mathematical and Computational Applications;2024-09-13
2. Recognizing sitting activities of excavator operators using multi-sensor data fusion with machine learning and deep learning algorithms;Automation in Construction;2024-09
3. Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR);Sensors;2024-08-22
4. Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22
5. DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network;Journal of Big Data;2024-08-03
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