Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Context Sensing with the Twiddler Keyboard
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
A Wearable Context-Awareness Component
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Wearable Sensor Badge and Sensor Jacket for Context Awareness
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Indoor Navigation Using a Diverse Set of Cheap, Wearable Sensors
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
What Shall We Teach Our Pants?
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Real-time Analysis of Data from Many Sensors with Neural Networks
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Acquiring in situ training data for context-aware ubiquitous computing applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Wearable Wellness Monitoring Using ECG and Accelerometer Data
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Analyzing features for activity recognition
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Compression-based data mining of sequential data
Data Mining and Knowledge Discovery
Recognizing context for annotating a live life recording
Personal and Ubiquitous Computing - Memory and Sharing of Experiences
Experiencing SAX: a novel symbolic representation of time series
Data Mining and Knowledge Discovery
Classification of Posture and Movement Using a 3-axis Accelerometer
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Context Awareness of Human Motion States Using Accelerometer
Journal of Medical Systems
Gestures are strings: efficient online gesture spotting and classification using string matching
Proceedings of the ICST 2nd international conference on Body area networks
Mnemonical body shortcuts: improving mobile interaction
ECCE '08 Proceedings of the 15th European conference on Cognitive ergonomics: the ergonomics of cool interaction
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle
Computers and Electronics in Agriculture
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Common sense based joint training of human activity recognizers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Mobile context inference using low-cost sensors
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
IEEE Transactions on Information Technology in Biomedicine
EURASIP Journal on Wireless Communications and Networking - Special issue on towards the connected body: advances in body communications
Feature learning for activity recognition in ubiquitous computing
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
SAPHE: simple accelerometer based wireless pairing with heuristic trees
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Remote and Autonomous Studies of Mobile and Ubiquitous Applications in Real Contexts
International Journal of Mobile Human Computer Interaction
Exercise repetition detection for resistance training based on smartphones
Personal and Ubiquitous Computing
Walk detection and step counting on unconstrained smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Combining embedded accelerometers with computer vision for recognizing food preparation activities
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proceedings of the 2013 International Symposium on Wearable Computers
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
User-adaptive models for recognizing food preparation activities
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
Accelerometer-based transportation mode detection on smartphones
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
A content search system considering the activity and context of a mobile user
Personal and Ubiquitous Computing
Mobile application usage prediction through context-based learning
Journal of Ambient Intelligence and Smart Environments
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The ubiquity of communication devices such as smartphones has led to the emergence of context-aware services that are able to respond to specific user activities or contexts. These services allow communication providers to develop new, added-value services for a wide range of applications such as social networking, elderly care and near-emergency early warning systems. At the core of these services is the ability to detect specific physical settings or the context a user is in, using either internal or external sensors. For example, using built-in accelerometers, it is possible to determine whether a user is walking or running at a specific time of day. By correlating this knowledge with GPS data, it is possible to provide specific information services to users with similar daily routines. This article presents a survey of the techniques for extracting this activity information from raw accelerometer data. The techniques that can be implemented in mobile devices range from classical signal processing techniques such as FFT to contemporary string-based methods. We present experimental results to compare and evaluate the accuracy of the various techniques using real data sets collected from daily activities.