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Predicting Perceived Stress Through Mirco-EMAs and a Flexible Wearable ECG Device., , , and . UbiComp/ISWC Adjunct, page 106-109. ACM, (2018)WillSense: Adherence Barriers for Passive Sensing Systems That Track Eating Behavior., , , and . CHI Extended Abstracts, page 2329-2336. ACM, (2017)Battery optimization in smartphones for remote health monitoring systems to enhance user adherence., , , , , and . PETRA, page 8:1-8:4. ACM, (2014)Sensor Self-Report Alignment (SSRA): Reducing Sun Exposure Assessment Error., , , and . PerCom Workshops, page 1-6. IEEE, (2020)Estimating Caloric Intake in Bedridden Hospital Patients with Audio and Neck-Worn Sensors., , , , , and . CHASE, page 1-2. ACM / IEEE, (2018)Investigating barriers and facilitators to wearable adherence in fine-grained eating detection., , , , , , , and . PerCom Workshops, page 407-412. IEEE, (2017)I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing., , and . Inf. Fusion, (2018)Improving Healthcare for Populations: Building Smart and Integrated Remote Health Monitoring Systems.. University of California, Los Angeles, USA, (2015)ActiveSense: A Novel Active Learning Framework for Human Activity Recognition., , and . PerCom Workshops, page 224-229. IEEE, (2022)Experience: Barriers and Opportunities of Wearables for Eating Research., , , , , , and . CHI Extended Abstracts, page 383:1-383:8. ACM, (2023)