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Emotion detection and recognition using HRV features derived from photoplethysmogram signals., , and . ERM4CT@ICMI, page 2:1-2:6. ACM, (2016)Eccrine Sweat Molecular Model for Development of de novo Biosensors., , , , and . EMBC, page 914-917. IEEE, (2022)Novel features from autocorrelation and spectrum to classify Phonocardiogram quality., , , , , , and . EMBC, page 4516-4520. IEEE, (2017)Noise detection in smartphone phonocardiogram., , , , , , , and . ICASSP, page 6584-6585. IEEE, (2017)A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting Epidemics., , , , , , and . IoT 360 (1), volume 169 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 536-542. (2015)PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification., , , , , and . HEALTHINF, page 553-560. SciTePress, (2017)A next generation mobile robot with multi-mode sense of 3D perception., , , , , and . ICAR, page 382-387. IEEE, (2015)Robotics audition using Kinect., , and . ICARA, page 34-41. IEEE, (2015)Smartphone Based Digital Stethoscope for Connected Health - A Direct Acoustic Coupling Technique., , , , , and . CHASE, page 193-198. IEEE Computer Society, (2016)Time-Frequency Analysis of Phonocardiogram for Classifying Heart Disease., , , , , , , and . CinC, www.cinc.org, (2016)