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Title
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
Authors
Keywords
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Journal
SENSORS
Volume 20, Issue 3, Pages 825
Publisher
MDPI AG
Online
2020-02-05
DOI
10.3390/s20030825
References
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Related references
Note: Only part of the references are listed.- A Survey of Zero-Shot Learning
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- (2017) Jinyoung Moon et al. ETRI JOURNAL
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- (2017) Fadi Al Machot et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Robust human activity recognition from depth video using spatiotemporal multi-fused features
- (2017) Ahmad Jalal et al. PATTERN RECOGNITION
- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Transductive Multi-View Zero-Shot Learning
- (2015) Yanwei Fu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Minimal Learning Machine: A novel supervised distance-based approach for regression and classification
- (2015) Amauri Holanda de Souza et al. NEUROCOMPUTING
- A tutorial on human activity recognition using body-worn inertial sensors
- (2014) Andreas Bulling et al. ACM COMPUTING SURVEYS
- Unobtrusive Sensing and Wearable Devices for Health Informatics
- (2014) Ya-Li Zheng et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding
- (2014) Genevieve Patterson et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Non-invasive wearable electrochemical sensors: a review
- (2014) Amay J. Bandodkar et al. TRENDS IN BIOTECHNOLOGY
- Transfer learning for activity recognition: a survey
- (2013) Diane Cook et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Activity recognition on streaming sensor data
- (2012) Narayanan C. Krishnan et al. Pervasive and Mobile Computing
- Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors
- (2011) M. Stikic et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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