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Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data.

, , , , , and . ICMLA, page 865-870. IEEE, (2018)

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Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio., , , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (1): 42:1-42:22 (2021)Towards Early Detection and Burden Estimation of Atrial Fibrillation in an Ambulatory Free-living Environment., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (2): 86:1-86:19 (2021)Detecting Physiological Responses Using Multimodal Earbud Sensors., , , , , , , , , and 1 other author(s). EMBC, page 1-5. IEEE, (2022)Contactless Monitoring of Respiratory Rate and Breathing Absence from Head Movements Using an RGB Camera., , , , and . EMBC, page 1-4. IEEE, (2023)MM-HAR: Multi-Modal Human Activity Recognition Using Consumer Smartwatch and Earbuds., , , , and . EMBC, page 1-4. IEEE, (2023)SpeechSpiro: Lung Function Assessment from Speech Pattern as an Alternative to Spirometry for Mobile Health Tracking., , , , , , and . EMBC, page 7237-7243. IEEE, (2021)Activity State Tracking Under Non-Restricted Ambulatory Condition., , , , and . BSN, page 1-4. IEEE, (2023)BreathEasy: Assessing Respiratory Diseases Using Mobile Multimodal Sensors., , , , , , , , , and . ICMI, page 41-49. ACM, (2020)BreatheBuddy: Tracking Real-time Breathing Exercises for Automated Biofeedback Using Commodity Earbuds., , , , , , and . Proc. ACM Hum. Comput. Interact., 6 (MHCI): 1-18 (2022)RRDetection: Respiration Rate Estimation Using Earbuds During Physical Activities., , , , and . EMBC, page 1-5. IEEE, (2023)