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Modeling Arousal Phases in Daily Living Using Wearable Sensors.

, , and . IEEE Trans. Affect. Comput., 4 (1): 93-105 (2013)

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Inferring Model Structures from Inertial Sensor Data in Distributed Activity Recognition., and . AmI, volume 8309 of Lecture Notes in Computer Science, page 62-77. Springer, (2013)Estimating Running Performance Combining Non-invasive Physiological Measurements and Training Patterns in Free-Living., and . EMBC, page 2845-2848. IEEE, (2018)Synthesising motion sensor data from biomechanical simulations to investigate motion sensor placement and orientation variations., and . EMBC, page 6391-6394. IEEE, (2019)Active Capacitive Sensing: Exploring a New Wearable Sensing Modality for Activity Recognition., , and . Pervasive, volume 6030 of Lecture Notes in Computer Science, page 319-336. Springer, (2010)An Interdisciplinary Approach to Designing Adaptive Lighting Environments., , , , , and . Intelligent Environments, page 17-24. IEEE Computer Society, (2011)Recognizing Energy-related Activities Using Sensors Commonly Installed in Office Buildings., and . ANT/SEIT, volume 19 of Procedia Computer Science, page 669-677. Elsevier, (2013)Modeling and simulation of sensor orientation errors in garments., , and . BODYNETS, page 20. ICST, (2009)Analysis of Chewing Sounds for Dietary Monitoring., , , and . UbiComp, volume 3660 of Lecture Notes in Computer Science, page 56-72. Springer, (2005)Combining wearable accelerometer and physiological data for activity and energy expenditure estimation., , , and . Wireless Health, page 1:1-1:8. ACM, (2013)Using RFID tags as reference for phone location and orientation in daily life., and . AH, page 194-197. ACM, (2013)