Multi-sensor context-awareness in mobile devices and smart artifacts
Mobile Networks and Applications
Advanced Interaction in Context
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
What Shall We Teach Our Pants?
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Wearable Sensing to Annotate Meeting Recordings
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Using Gravity to Estimate Accelerometer Orientation
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Dealing with sensor displacement in motion-based onbody activity recognition systems
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
When the Spatial Networks Split?
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
On-body activity recognition in a dynamic sensor network
Proceedings of the ICST 2nd international conference on Body area networks
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Implicit interaction with daily objects: applications and issues
Proceedings of the 3rd International Universal Communication Symposium
A Self-organizing Approach to Activity Recognition with Wireless Sensors
IWSOS '09 Proceedings of the 4th IFIP TC 6 International Workshop on Self-Organizing Systems
Symbolic object localization through active sampling of acceleration and sound signatures
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
User experiences with activity-based navigation on mobile devices
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Sensing foot gestures from the pocket
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
EURASIP Journal on Wireless Communications and Networking - Special issue on towards the connected body: advances in body communications
Recognizing whether sensors are on the same body
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
A rotation based method for detecting on-body positions of mobile devices
Proceedings of the 13th international conference on Ubiquitous computing
Accelerometer-based on-body sensor localization for health and medical monitoring applications
Pervasive and Mobile Computing
OPF: a distributed context-sensing framework for ubiquitous computing environments
UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
Evaluating performance in continuous context recognition using event-driven error characterisation
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
DarSens: a framework for distributed activity recognition from body-worn sensors
Proceedings of the Fifth International Conference on Body Area Networks
Online pose classification and walking speed estimation using handheld devices
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Recognizing whether sensors are on the same body
Pervasive and Mobile Computing
Proceedings of the 2013 international conference on Intelligent user interfaces
A survey on smartphone-based systems for opportunistic user context recognition
ACM Computing Surveys (CSUR)
Phoneprioception: enabling mobile phones to infer where they are kept
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
The paper describes a method that allows us to derive the location of an acceleration sensor placed on the user's body solely based on the sensor's signal. The approach described here constitutes a first step in our work towards the use of sensors integrated in standard appliances and accessories carried by the user for complex context recognition. It is also motivated by the fact that device location is an important context (e.g. glasses being worn vs. glasses in a jacket pocket). Our method uses a (sensor) location and orientation invariant algorithm to identify time periods where the user is walking and then leverages the specific characteristics of walking motion to determine the location of the body-worn sensor. In the paper we outline the relevance of sensor location recognition for appliance based context awareness and then describe the details of the method. Finally, we present the results of an experimental study with six subjects and 90 walking sections spread over several hours indicating that reliable recognition is feasible. The results are in the low nineties for frame by frame recognition and reach 100% for the more relevant event based case.