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Citing this Article

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Published on 08.08.18 in Vol 5, No 3 (2018): Jul-Sept

This paper is in the following e-collection/theme issue:

Works citing "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study"

Juan Carlos Quiroz, Elena Geangu, Min Hooi Yong

JMIR Ment Health 2018 (Aug 08); 5(3):e10153 

According to Crossref, the following articles are citing this article (DOI 10.2196/10153):

(note that this is only a small subset of citations)

  1. Day J, Freiberg K, Hayes A, Homel R. Towards Scalable, Integrative Assessment of Children’s Self-Regulatory Capabilities: New Applications of Digital Technology. Clinical Child and Family Psychology Review 2019;22(1):90
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  2. Cho A, Lee H, Jo Y, Whang M. Embodied Emotion Recognition Based on Life-Logging. Sensors 2019;19(23):5308
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  3. . Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795
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  4. Geangu E, Vuong QC. Look up to the body: An eye-tracking investigation of 7-months-old infants’ visual exploration of emotional body expressions. Infant Behavior and Development 2020;60:101473
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  5. Narziev N, Goh H, Toshnazarov K, Lee SA, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396
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  6. Gasparini F, Giltri M, Bandini S. Discriminating affective state intensity using physiological responses. Multimedia Tools and Applications 2020;79(47-48):35845
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  7. Park S, Constantinides M, Aiello LM, Quercia D, Van Gent P. WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches. IEEE Internet Computing 2020;24(5):10
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  8. Hilty DM, Armstrong CM, Luxton DD, Gentry MT, Krupinski EA. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021;6(2):278
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  9. Xu L, Zheng Y, Xu D, Xu L. Predicting the Preference for Sad Music: The Role of Gender, Personality, and Audio Features. IEEE Access 2021;9:92952
    CrossRef
  10. Chakrabarti S, Biswas N, Jones LD, Kesari S, Ashili S. Smart Consumer Wearables as Digital Diagnostic Tools: A Review. Diagnostics 2022;12(9):2110
    CrossRef
  11. Qirtas MM, Zafeiridi E, Pesch D, White EB. Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review. JMIR mHealth and uHealth 2022;10(4):e34638
    CrossRef
  12. Chung J, Brakey HR, Reeder B, Myers O, Demiris G. Community‐dwelling older adults' acceptance of smartwatches for health and location tracking. International Journal of Older People Nursing 2023;18(1)
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  13. Jemioło P, Storman D, Mamica M, Szymkowski M, Żabicka W, Wojtaszek-Główka M, Ligęza A. Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence— A Systematic Review. Sensors 2022;22(7):2538
    CrossRef
  14. Mughal F, Raffe W, Stubbs P, Kneebone I, Garcia J. Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study. JMIR Formative Research 2022;6(11):e33952
    CrossRef
  15. Veeranki YR, Kumar H, Ganapathy N, Natarajan B, Swaminathan R. A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli. IEEE Access 2021;9:124434
    CrossRef
  16. Xu L, Wang J, Xu D, Xu L. Integrating Individual Factors to Construct Recognition Models of Consumer Fraud Victimization. International Journal of Environmental Research and Public Health 2022;19(1):461
    CrossRef
  17. Deligianni F, Guo Y, Yang G. From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology. IEEE Journal of Biomedical and Health Informatics 2019;23(6):2302
    CrossRef
  18. Khanshan A, Van Gorp P, Nuijten R, Markopoulos P. Assessing the Influence of Physical Activity Upon the Experience Sampling Response Rate on Wrist-Worn Devices. International Journal of Environmental Research and Public Health 2021;18(20):10593
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  19. Bocu R, Bocu D, Iavich M. An Extended Review Concerning the Relevance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors. Sensors 2022;23(1):294
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  20. Jianwattanapaisarn N, Sumi K, Utsumi A, Khamsemanan N, Nattee C. Emotional characteristic analysis of human gait while real-time movie viewing. Frontiers in Artificial Intelligence 2022;5
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  21. Delgado-Santos P, Stragapede G, Tolosana R, Guest R, Deravi F, Vera-Rodriguez R. A Survey of Privacy Vulnerabilities of Mobile Device Sensors. ACM Computing Surveys 2022;54(11s):1
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  22. Ahmed N, Aghbari ZA, Girija S. A systematic survey on multimodal emotion recognition using learning algorithms. Intelligent Systems with Applications 2023;17:200171
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  23. Li Y, Yu L, Liao J, Su G, Ammarah H, Liu L, Wang S. A single smartwatch-based segmentation approach in human activity recognition. Pervasive and Mobile Computing 2022;83:101600
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  24. Anderson LM, Hall LM, Crosby RD, Crow SJ, Berg KC, Durkin NE, Engel SG, Peterson CB. “Feeling fat,” disgust, guilt, and shame: Preliminary evaluation of a mediation model of binge-eating in adults with higher-weight bodies. Body Image 2022;42:32
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  25. Yokoyama K, Hayashi E, Ito H, Kawahara Y. Estimation of heart rate variability from heart rate measured with wristwatch‐type heart rate monitor. Electronics and Communications in Japan 2022;105(2)
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  26. Yokoyama K, Hayashi E, Ito H, Kawahara Y. Estimation of Heart Rate Variability from Heartrate Measured with Wristwatch-Type Heartrate Monitor. IEEJ Transactions on Electronics, Information and Systems 2022;142(1):46
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  27. Huhn S, Axt M, Gunga H, Maggioni MA, Munga S, Obor D, Sié A, Boudo V, Bunker A, Sauerborn R, Bärnighausen T, Barteit S. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth and uHealth 2022;10(1):e34384
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  28. Wen X, Huang Z, Sun Z, Xu L. What a deep song: The role of music features in perceived depth. PsyCh Journal 2022;11(5):673
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  29. Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
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  30. Ab. Aziz NA, K. T, Ismail SNMS, Hasnul MA, Ab. Aziz K, Ibrahim SZ, Abd. Aziz A, Raja JE. Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research. Algorithms 2023;16(3):130
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  31. Leppich D, Bieber C, Proschek K, Harms P, Schubert U. DUX: a dataset of user interactions and user emotions. i-com 2023;22(2):101
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  32. Saganowski S, Perz B, Polak AG, Kazienko P. Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review. IEEE Transactions on Affective Computing 2023;14(3):1876
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  33. Olesen KV, Lønfeldt NN, Das S, Pagsberg AK, Clemmensen LKH. Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a Nonrandomized Pilot Study. JMIR Research Protocols 2023;12:e48571
    CrossRef
  34. Gohumpu J, Xue M, Bao Y. Emotion recognition with multi-modal peripheral physiological signals. Frontiers in Computer Science 2023;5
    CrossRef
  35. Xu S, Fang J, Hu X, Ngai E, Wang W, Guo Y, Leung VCM. Emotion Recognition From Gait Analyses: Current Research and Future Directions. IEEE Transactions on Computational Social Systems 2024;11(1):363
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  36. Baroudi L, Barton K, Cain SM, Shorter KA. Classification of human walking context using a single-point accelerometer. Scientific Reports 2024;14(1)
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  37. Deguchi N, Osuka Y, Kojima N, Motokawa K, Iwasaki M, Inagaki H, Miyamae F, Okamura T, Hirano H, Awata S, Sasai H. Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging. Frontiers in Public Health 2024;12
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/10153):

  1. Martinho D, Carneiro J, Novais P, Neves J, Corchado J, Marreiros G. Progress in Artificial Intelligence. 2019. Chapter 5:50
    CrossRef
  2. Zhuang Y, Lin L, Tong R, Liu J, Iwamoto Y, Chen Y. Computer Vision – ACCV 2020 Workshops. 2021. Chapter 4:46
    CrossRef
  3. Cipriano M, Costagliola G, De Rosa M, Fuccella V, Shevchenko S. Innovation in Medicine and Healthcare. 2021. Chapter 10:117
    CrossRef
  4. Jianwattanapaisarn N, Sumi K, Utsumi A. Intelligent Video Surveillance - New Perspectives. 2023. Chapter 8
    CrossRef
  5. Bocu R, Bocu D. Advanced Information Networking and Applications. 2023. Chapter 1:1
    CrossRef