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Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step., , and . IEEE J. Biomedical and Health Informatics, 20 (4): 1053-1060 (2016)Automatic Stress Detection in Working Environments from Smartphones' Accelerometer Data: A First Step., , and . CoRR, (2015)Contextualized Hand Gesture Recognition with Smartphones., , and . MCPR, volume 8495 of Lecture Notes in Computer Science, page 122-131. Springer, (2014)Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement., , and . MoDELS, page 239-249. IEEE, (2021)Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition., , and . ANT/SEIT, volume 130 of Procedia Computer Science, page 157-163. Elsevier, (2018)Evaluation of Four Classifiers as Cost Function for Indoor Location Systems., , , , and . ANT/SEIT, volume 32 of Procedia Computer Science, page 453-460. Elsevier, (2014)User Recognition Based on Daily Actigraphy Patterns., and . IFIPTM, volume 563 of IFIP Advances in Information and Communication Technology, page 73-80. Springer, (2019)One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression., , , , , , and . HealthMedia@MM, page 9-15. ACM, (2019)Mental health monitoring with multimodal sensing and machine learning: A survey., , , , , and . Pervasive and Mobile Computing, (2018)Long-Term Activity Recognition from Wristwatch Accelerometer Data., , , and . Sensors, 14 (12): 22500-22524 (2014)