Wearable Sensor Badge and Sensor Jacket for Context Awareness
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
The design for the wall street journal-based CSR corpus
HLT '91 Proceedings of the workshop on Speech and Natural Language
eWatch: A Wearable Sensor and Notification Platform
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
The Mobile Sensing Platform: An Embedded Activity Recognition System
IEEE Pervasive Computing
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Distributed recognition of human actions using wearable motion sensor networks
Journal of Ambient Intelligence and Smart Environments
Monitoring body positions and movements during sleep using WISPs
WH '10 Wireless Health 2010
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
The design of a portable kit of wireless sensors for naturalistic data collection
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Motion primitive-based human activity recognition using a bag-of-features approach
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
IEEE Transactions on Information Technology in Biomedicine
A feature selection-based framework for human activity recognition using wearable multimodal sensors
Proceedings of the 6th International Conference on Body Area Networks
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors
ICMLA '11 Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops - Volume 02
Proceedings of the 2013 International Symposium on Wearable Computers
Cost-effective activity recognition on mobile devices
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Many ubiquitous computing applications involve human activity recognition based on wearable sensors. Although this problem has been studied for a decade, there are a limited number of publicly available datasets to use as standard benchmarks to compare the performance of activity models and recognition algorithms. In this paper, we describe the freely available USC human activity dataset (USC-HAD), consisting of well-defined low-level daily activities intended as a benchmark for algorithm comparison particularly for healthcare scenarios. We briefly review some existing publicly available datasets and compare them with USC-HAD. We describe the wearable sensors used and details of dataset construction. We use high-precision well-calibrated sensing hardware such that the collected data is accurate, reliable, and easy to interpret. The goal is to make the dataset and research based on it repeatable and extendible by others.