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FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Probabilistic discovery of time series motifs
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BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Robust topology control for indoor wireless sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Using acceleration signatures from everyday activities for on-body device location
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
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Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
uWave: Accelerometer-based personalized gesture recognition and its applications
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Validated caloric expenditure estimation using a single body-worn sensor
Proceedings of the 11th international conference on Ubiquitous computing
Improving activity discovery with automatic neighborhood estimation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Toward unsupervised activity discovery using multi-dimensional motif detection in time series
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Detecting intra-room mobility with signal strength descriptors
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
Identifying user traits by mining smart phone accelerometer data
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
On-body device localization for health and medical monitoring applications
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Where am i: recognizing on-body positions of wearable sensors
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Gesture-based applications for elderly people
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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In this paper, we present a technique to recognize the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user's body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body. In order to study the feasibility of classification of left limbs from right limbs (e.g., left arm vs. right arm), we performed an analysis, based on which no meaningful classification was observed. Personalized ultraviolet monitoring and wireless transmission power control comprise two immediate applications of our on-body device localization approach. Such applications, along with their corresponding feasibility studies, are discussed.