Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review
出版年份 2019 全文链接
标题
Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review
作者
关键词
Human activity recognition (HAR), Abnormal behavior detection, Elderly ambient assisted living, Non-intrusive human activity recognition
出版物
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-06-04
DOI
10.1007/s10462-019-09724-5
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
- (2018) Christoforos Nalmpantis et al. ARTIFICIAL INTELLIGENCE REVIEW
- Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength
- (2018) Lina Yao et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Transition activity recognition using fuzzy logic and overlapped sliding window-based convolutional neural networks
- (2018) Jaewoong Kang et al. JOURNAL OF SUPERCOMPUTING
- Assessing Human Activity in Elderly People Using Non-Intrusive Load Monitoring
- (2017) José Alcalá et al. SENSORS
- Position-aware activity recognition with wearable devices
- (2017) Timo Sztyler et al. Pervasive and Mobile Computing
- Mobile activity recognition and fall detection system for elderly people using Ameva algorithm
- (2017) Miguel Ángel Álvarez de la Concepción et al. Pervasive and Mobile Computing
- Human Activity Recognition in AAL Environments Using Random Projections
- (2016) Robertas Damaševičius et al. Computational and Mathematical Methods in Medicine
- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants
- (2016) N. A. Capela et al. Journal of NeuroEngineering and Rehabilitation
- Towards online and personalized daily activity recognition, habit modeling, and anomaly detection for the solitary elderly through unobtrusive sensing
- (2016) Lei Meng et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Wearable Sensors for Human Activity Monitoring: A Review
- (2015) Subhas Chandra Mukhopadhyay IEEE SENSORS JOURNAL
- Adaptive mobile activity recognition system with evolving data streams
- (2015) Zahraa Said Abdallah et al. NEUROCOMPUTING
- Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data
- (2015) Tobias Nef et al. SENSORS
- The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes
- (2015) Jack Kelly et al. Scientific Data
- A comparison of activity classification in younger and older cohorts using a smartphone
- (2014) Michael B Del Rosario et al. PHYSIOLOGICAL MEASUREMENT
- 2013 Alzheimer's disease facts and figures
- (2013) Alzheimers & Dementia
- A Survey on Ambient-Assisted Living Tools for Older Adults
- (2013) Parisa Rashidi et al. IEEE Journal of Biomedical and Health Informatics
- A Dynamic Evidential Network for Fall Detection
- (2013) Paulo Armando Cavalcante Aguilar et al. IEEE Journal of Biomedical and Health Informatics
- A Survey on Human Activity Recognition using Wearable Sensors
- (2012) Oscar D. Lara et al. IEEE Communications Surveys and Tutorials
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Evidential Networks for Reliability Analysis and Performance Evaluation of Systems With Imprecise Knowledge
- (2009) C. Simon et al. IEEE TRANSACTIONS ON RELIABILITY
- Ameva: An autonomous discretization algorithm
- (2008) L. Gonzalez-Abril et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evidential fusion of sensor data for activity recognition in smart homes
- (2008) Xin Hong et al. Pervasive and Mobile Computing
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