Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing

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Items 101–200 of 338

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   Opoku Asare, Kennedy, Visuri, Aku, Ferreira, Denzil S. T. · 2019 · Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
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    Woodward, Kieran, Kanjo, Eiman, Brown, David J., McGinnity, T. M., Inkster, Becky, Macintyre, Donald J., Tsanas, Athanasios · 2022 · IEEE Transactions on Affective Computing
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    Jessica L. Borelli, Yuning Wang, Frances Haofei Li, Lyric N. Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi et al. · 2025 · JMIR Formative Research
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    Daniel McDuff, Andrew Barakat, Ari Winbush, Allen Jiang, Felicia Cordeiro, Ryann N. Crowley, Lauren Emily Kahn, John Hernandez, Nicholas Brian Allen · 2023 · JMIR Research Protocols
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    Tianqi Yang, Yang He, Chunyan He, Yueqi Yang, Lin Wu, Bin Wei, Ruina Dong, Mengyuan Yang, Zhaojun Pu, Saiming Wang et al. · 2023 · Frontiers in Psychiatry
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    Kushan Choksi, Hongkai Chen, Karan Joshi, Sukrutha Jade, Shahriar Nirjon, Shan Lin · 2024 · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)
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    Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Shri Narayanan, Kristina Lerman, Emilio Ferrara · 2020 · Journal of Healthcare Informatics Research
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    Victor-Alexandru Darvariu, Laura Convertino, Abhinav Mehrotra, Mirco Musolesi · 2020 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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    Gina Sprint, Diane J. Cook, Maureen Schmitter‐Edgecombe, Lawrence B. Holder · 2022 · ACM Transactions on Computing for Healthcare
40. Estimating Individualized Daily Self-Reported Affect with Wearable Sensors
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    Bogoan Kim, Seok-Won Lee, Hwajung Hong, Kyungsik Han · 2019 · IEEE Access
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    Alan Jeffrey Budney, Lisa A. Marsch, Will M. Aklin, Jacob T. Borodovsky, Mary F. Brunette, Andrew Thomas Campbell, Jesse Dallery, David F. Kotz, Ashley Arehart Knapp, Sarah Lord et al. · 2019 · JMIR Mental Health
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    Khadijah Alahmari, Henry Been‐Lirn Duh, Richard Skarbez · 2022 · Behaviour and Information Technology
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    Wenjie Yang, Anna Fang, Raj Sanjay Shah, Yash Mathur, Diyi Yang, Haiyi Zhu, Robert E. Kraut · 2024 · Proceedings of the ACM on Human-Computer Interaction
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    Xuan Lü, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei · 2022 · PLoS ONE
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    Binh Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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    Joshua Newn, Ryan Kelly, Simon D’Alfonso, Reeva Lederman · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
52. Predicting stress and depressive symptoms using high-resolution smartphone data and sleep behavior in Danish adults
    Thea Otte Andersen, Agnete Skovlund Dissing, Elin Rosenbek Severinsen, Andreas Kryger Jensen, Vi Thanh Pham, Tibor V. Varga, Naja Hulvej Rod · 2022 · SLEEP
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    Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Uichin Lee · 2024 · ACM Computing Surveys
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    Yunfei Luo, Iman Deznabi, Abhinav Shaw, Natcha Simsiri, Tauhidur Rahman, Madalina Fiterau · 2024 · Scientific Reports
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    Lea Berkemeier, Wim Kamphuis, Anne-Marie Brouwer, Herman de Vries, Maarten P. D. Schadd, Jan Ubbo van Baardewijk, Hilbrand K. E. Oldenhuis, Rudolf M. Verdaasdonk, Julia E.W.C. van Gemert‐Pijnen · 2024 · IEEE Transactions on Affective Computing
56. The Role of Campus Data in Representing Depression Among College Students: Exploratory Research
    Guang Mei, Weisheng Xu, Li Li, Zhen Zhao, Hao Li, Wenqing Liu, Yueming Jiao · 2019 · JMIR Mental Health
57. Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems
    Michail N. Giannakos, Serena Lee‐Cultura, Kshitij Sharma · 2021 · IT Professional
58. EarlyScreen
    Manasa Kalanadhabhatta, Adrelys Mateo Santana, Zhongyang Zhang, Deepak Ganesan, Adam S. Grabell, Tauhidur Rahman · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
59. Smartphone-based Mental State Estimation: A Survey from a Machine Learning Perspective
    Yusuke Fukazawa, Naoki Yamamoto, Takashi Hamatani, Keiichi Ochiai, Akira Uchiyama, K. Ohta · 2020 · Journal of Information Processing
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    Anran Xu, Zhen-Zhe Zheng, Qin-Ya Li, Fan Wu, Gui-Hai Chen · 2024 · IEEE Transactions on Mobile Computing
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    Yinan Sun, Ali Kargarandehkordi, Christopher R. Slade, Aditi Jaiswal, Gerald Busch, Anthony P. S. Guerrero, Kristina T. Phillips, Peter Yigitcan Washington · 2023 · JMIR Research Protocols
62. Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions
    Bishal Lamichhane, Nidal J. Moukaddam, Ashutosh Sabharwal · 2024 · Scientific Reports
63. Passive Health Monitoring Using Large Scale Mobility Data
    Zhang, Yunke, Xu, Fengli, Li, Tong, Kostakos, Vassilis, Hui, Pan, Li, Yong · 2021 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
64. Personalized Student Stress Prediction with Deep Multitask Network
    Abhinav Shaw, Natcha Simsiri, Iman Deznabi, Madalina Fiterau, Tauhidur Rahaman · 2019 · arXiv (Cornell University)
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    Rushabh Musthyala, Shubham Arawkar, Manik Gupta · 2021
68. Heterogeneous Graph Attention Networks for Depression Identification by Campus Cyber-Activity Patterns
    Minqiang Yang, Zhuoheng Li, Yujie Gao, Chen He, Fuzhan Huang, Wenbo Chen · 2024 · IEEE Transactions on Computational Social Systems
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    Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Kumar Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris et al. · 2024 · GetMobile Mobile Computing and Communications
70. Smartphone usage behavior between depressed and non-depressed students
    Md. Sabbir Ahmed, Rahat Jahangir Rony, Tanvir Hasan, Nova Ahmed · 2020 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
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72. Automatic Depression Prediction using Screen Lock/Unlock Data on the Smartphone
    Jiwon Kim, Juyoung Hong, Yukyung Choi · 2021 · International Conference on Ubiquitous Robots (UR)
73. Rethinking technology innovation for mental health: framework for multi-sectoral collaboration
    Suh, Jina, Pendse, Sachin R., Lewis, Robert, Howe, Esther, Saha, Koustuv, Okoli, Ebele, Amores, Judith, Ramos, Gonzalo, Shen, Jenny, Borghouts, Judith et al. · 2024 · Nature Mental Health
74. Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data
    Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander C. Russell et al. · 2023 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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    Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Shri Narayanan, Theodora Chaspari · 2023 · Frontiers in Digital Health
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    Weichen Wang, Jialing Wu, Subigya Kumar Nepal, Alex W DaSilva, Elin L. Hedlund, Eilis I Murphy, Courtney Rogers, Jeremy F. Huckins · 2021 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
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    Yu Liu, Kyoung‐Don Kang, Mi Jin Doe · 2022 · Technologies
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    Tado Jurić · 2021 · medRxiv
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    Justin Chan, Mayank Goel, Shyamnath Gollakota, Rajalakshmi Nandakumar · 2025 · Nature Reviews Bioengineering
80. Distinction of stress and non-stress tasks using facial action units
    Carla Viegas, Shing-hon Lau, Roy A. Maxion, Alexander G. Hauptmann · 2018
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    Kyong‐Mee Chung, Eunsun Chung · 2020 · The Korean Journal of Clinical Psychology
85. Mobile Sensing Methods
    Ramona Schoedel, Matthias R. Mehl · 2023
86. SmartSense-D: A safety, feasibility, and acceptability pilot study of digital phenotyping in young people with major depressive disorder
    Andres Camargo, Scott D. Tagliaferri, Simon D’Alfonso, Tianyi Zhang, Zamantha Munoz, Pemma Davies, Mario Álvarez‐Jiménez, Niels van Berkel, Vassilis Kostakos, Lianne Schmaal · 2025 · Digital Health
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    Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, Martin Gjoreski, Silvia Santini B · 2024 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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    Noé Zufferey, Kavous Salehzadeh Niksirat, Mathias Humbert, Kévin Huguenin · 2024 · Proceedings on Privacy Enhancing Technologies
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    Anis Zaman, Boyu Zhang, Vincent Silenzio, Mohammed Ehsan Hoque, Henry Kautz · 2020 · arXiv (Cornell University)
97. Depressive symptom screening in elderly by passive sensing data of smartphones or smartwatches: A systematic review
    Rujira Adhibai, Hathairat Kosiyaporn, Kamolphat Markchang, Sopit Nasueb, Orratai Waleewong, Rapeepong Suphanchaimat · 2024 · PLoS ONE
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    Yugyeong Jung, Hei Yiu Law, H. S. Lee, Junmo Lee, Bongshin Lee, Uichin Lee · 2025 · CHI Conference on Human Factors in Computing Systems
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    Wang Huizhong · 2021 · Journal of Sensors
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     Maitri Vaghela, Kalyan Sasidhar, Alka Parikh, Rekha Wagani · 2022 · SN Computer Science