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Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles

• Authors : Malik Hasnain Ahmed; Yousaf Saeed; Abid Mehmood

Subjects: Smart vehicles; transfer learning; depression detection

• Source: IEEE Access, Vol 12, Pp 79838-79850 (2024)

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Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment

• Authors : Jiaju Yin; Xinyuan Jia; Haorong Li

Subjects: biosensors; depression; personalized treatment

• Source: Biosensors, Vol 14, Iss 9, p 422 (2024)

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Mobile Application: For Anxiety and Cardiovascular Depression Monitoring Using a Smartwatch Based on Cognitive Behavioral Therapy

• Authors : Lucero Huaroto; Vanessa Alvarado; Lenis Wong

Subjects: mobile application; smartwatch; cognitive behavioral therapy

• Source: Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 1, Pp 112-120 (2022)

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Towards depression monitoring and prevention in older populations using smart wearables: Quantitative Findings

• Authors : Mughal, F; Raffe, W; Stubbs, P

Subjects: Conference Proceeding

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Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles

• Authors : Hasnain Ahmed, Malik; Saeed, Yousaf; Mehmood, Abid ...

• Source: IEEE Access ; volume 12, page 79838-79850 ; ISSN 2169-3536

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Intelligent Knowledge Service System Based on Depression Monitoring of College Students.

• Authors : Huina Yu¹; Guihong Zhang¹; Jiali Liu¹

• Source: International Journal of Emerging Technologies in Learning; 2019, Vol. 14 Issue 12, p71-84, 14p

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Intelligent Knowledge Service System Based on Depression Monitoring of College Students

• Authors : Guihong Zhang; Kai Li; Jiali Liu

Subjects: Medical education; Service system; lcsh:T58.5-58.64

• Source: International Journal of Emerging Technologies in Learning (iJET), Vol 14, Iss 12, Pp 71-84 (2019)

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Proposed a Framework for Depression Monitoring System by Detecting the Facial Expression using Soft Computing Algorithm

• Authors : Sonia Sodhi; Manisha Jailia; Lattice Science Publication (LSP)

Subjects: convolutional neural network; machine learning; learning (artificial intelligence)

• Source: International Journal of Preventive Medicine and Health (IJPMH), 1(2), 5-7, (2021-05-10)

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Ethical issues in using Twitter for population-level depression monitoring: a qualitative study.

• Authors : Mikal, J; Hurst, S; Conway, M

Subjects: Journal Article

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Dheergayu: Clinical Depression Monitoring Assistant

• Authors : Dias A.A.M.R; Kolamunna K.G.T.D; Fernando N.I.R

Subjects: clinical depression; emotional health monitoring; facial features extraction

• Source: Global Journal of Computer Science and Technology; Vol. 20 No. C2 (2020): GJCST-C Software and Data Engineering: Volume 20 Issue C2; 53-61 ; 0975-4172 ; 0975-4350

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