C4.5: programs for machine learning
C4.5: programs for machine learning
Fundamentals of speech recognition
Fundamentals of speech recognition
Charting past, present, and future research in ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
WearNET: A Distributed Multi-sensor System for Context Aware Wearables
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
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
Segmentation of Intentional Human Gestures for Sports Video Annotation
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
A living laboratory for the design and evaluation of ubiquitous computing technologies
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Towards implicit interaction by using wearable interaction device sensors for more than one task
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
A framework for the automated generation of power-efficient classifiers for embedded sensor nodes
Proceedings of the 5th international conference on Embedded networked sensor systems
Designing and evaluating Buster: an indexical mobile travel planner for public transportation
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
HealthSense: classification of health-related sensor data through user-assisted machine learning
Proceedings of the 9th workshop on Mobile computing systems and applications
Understanding users' perception of speech recognition errors in mobile communication
International Journal of Mobile Learning and Organisation
ADL Monitoring System Using FSR Arrays and Optional 3-Axis Accelerometer
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
A novel system for inferring activities of daily living in smart home
Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
A positioning service for pervasive objects in dynamic environments
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Preprocessing techniques for context recognition from accelerometer data
Personal and Ubiquitous Computing
Bridging the gap between web service-based context suppliers and ontology-based context consumers
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Moving on from weiser's vision of calm computing: engaging ubicomp experiences
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Pervasive Computing for Hospital, Chronic, and Preventive Care
Foundations and Trends in Human-Computer Interaction
Agents Network for Automatic Safety Check in Constructing Sites
International Journal of Adaptive, Resilient and Autonomic Systems
ACM Transactions on Accessible Computing (TACCESS)
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Ubiquitous, context-aware computer systems may ultimately enable computer applications that naturally and usefully respond to a user's everyday activity. Although new algorithms that can automatically detect context from wearable and environmental sensor systems show promise, many of the most flexible and robust systems use probabilistic detection algorithms that require extensive libraries of training data with labeled examples. In this paper, we describe the need for such training data and some challenges we have identified when trying to collect it while testing three context-detection systems for ubiquitous computing and mobile applications.