Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Wearable Sensor Badge and Sensor Jacket for Context Awareness
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
A Novel Method for Joint Motion Sensing on a Wearable Computer
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Modeling and simulating electronic textile applications
Proceedings of the 2004 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Garment-Based Monitoring of Respiration Rate Using a Foam Pressure Sensor
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Fabric PCBs, electronic sequins, and socket buttons: techniques for e-textile craft
Personal and Ubiquitous Computing
The Unconventional Interaction Library: Tackling the Use of Physiological Interaction Modalities
C5 '10 Proceedings of the 2010 Eighth International Conference on Creating, Connecting and Collaborating through Computing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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Wearable technology is omnipresent to the user. Thus, it has the potential to be significantly disruptive to the user's daily life. Context awareness and intuitive device interfaces can help to minimize this disruption, but only when the sensing technology itself is not physically intrusive: i.e., when the interface preserves the user's homeostatic comfort. This work evaluates a novel foam-based sensor for use in body-monitoring for context-aware and gestural interfaces. The sensor is particularly attractive for wearable interfaces due to its positive wearability characteristics (softness, pliability, washability), but less precise than other similar sensors. The sensor is applied in the garment-based monitoring of breathing, shoulder lift (shrug), and directional arm movement, and its accuracy is evaluated in each application. We find the foam technology most successful in detecting the presence of movement events using a single sensor, and less successful in measuring precise, relative movements from the coordinated responses of multiple sensors. The implications of these results are considered from a wearable computing perspective.