Proactive Instructions for Furniture Assembly
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
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
Gait-Based Recognition of Humans Using Continuous HMMs
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
PadNET: Wearable Physical Activity Detection Network
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Design and implementation of expressive footwear
IBM Systems Journal
MAHI: investigation of social scaffolding for reflective thinking in diabetes management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Self-monitoring, self-awareness, and self-determination in cardiac rehabilitation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What does your chair know about your stress level?
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Towards negotiation as a framework for health promoting technology
ACM SIGHIT Record
Active capacitive sensing: exploring a new wearable sensing modality for activity recognition
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Multimodal interactions for expressive interfaces
EISE'09 Proceedings of the First international conference on Expressive Interactions for Sustainability and Empowerment
MARS: a muscle activity recognition system enabling self-configuring musculoskeletal sensor networks
Proceedings of the 12th international conference on Information processing in sensor networks
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
In this paper we present a system for assessing muscle activity by using wearable force sensors placed on the muscle surface. Such sensors are very thin, power efficient and have also been demonstrated as pure textile devices, so that they can be easily integrated in such garments as elastic underwear or tight shorts/shirt. On the example upper-leg muscle we show how good signal quality can be reliably acquired under realistic conditions. We then show how information about general user context can be derived from the muscle activity signal. We first look at the modes of locomotion problem which is a well studied, benchmark-like problem in the community. We then demonstrate the correlation between the signals from our system and user fatigue. We conclude with a discussion of other types of information that can be derived from the muscle activity based on physiological considerations and example data form our experiments.