關於 tracking depression dynamics in college students using mobile phone and wearable sensing pdf ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. Smartphone Mediated Tracking and Analysis of Sleep ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc ACM Interact Mob Wearable Ubiquitous Technol.

#12. Smartphone-based Mental State Estimation - J-Stage

キーワード: smartphone, sensing, mental health, machine learning ... A.: Tracking depression dynamics in college students using mobile phone and wearable ...

#13. HADD: High-Accuracy Detection of Depressed Mood - MDPI

tionnaires that use mobile/wearable devices in a non-clinical setting often ... depressed mood by analyzing objective sensor data that are ...

#14. Predicting clinically relevant changes in bipolar disorder ...

[18] used typing dynamics to predict the existence of depression symptoms based on the ... wearables, smart home sensors, in-home robots, and other devices.

#15. Remote measurement technologies for depression in young ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proceedings of the ACM on Interactive, Mobile, ...

#16. 3 Detecting Depression and Predicting its Onset Using ...

tify changes in depressive symptoms in college students, and predict future depressive episodes. Built-in sensors on mobile phones and wearable fitness ...

#17. A Diagnostic Meta-Analysis via Machine Learning Methods

Screening for Depression in Mobile Devices Using Patient Health ... dynamics in college students using mobile phone and wearable sensing.

#18. StudentLife: Assessing Mental Health, Academic Performance ...

However, progress has been limited due a to lack of wearable sensors that can ... Academic Performance and Behavioral Trends of College Students using ...

#19. Digital phenotyping for mental health of college students

23 Wang R, Wang W, daSilva A, et al. Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc ACM Interact ...

#20. Longitudinal Relationships Between Depressive Symptom ...

Recently, the use of mobile phones with embedded sensors for ... Tracking depression dynamics in college students using mobile phone and ...

#21. [PDF] COVID Student Study: A Year in the Life of College Students ...

Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing. Rui Wang, Weichen Wang, Alex W. daSilva, Jeremy F. Huckins, ...

#22. Cornet_2018.pdf - Center for Sleep and Circadian Science

Wearable, portable, or mobile computing permits continual passive sensing: the ... sensing devices [6] and the use of smartphones generally for health and.

#23. Weichen Wang's

Ubiquitous Computing, Mobile Sensing Systems, Mobile Health, Mobile Sensing Applied ... “Tracking Depression Dynamics in College Students. Using Mobile ...

#24. Fusing Mobile Phone Sensing and Brain Imaging to Assess ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 1–26.

#25. The Mental Elf al Twitter: "@DepressionRC @uni_tue @JEichstaedt ...

Wang et al (2018) Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing, cited by. @DepressionRC. from.

#26. Modeling Wellness using Smartphone and Activity - Washington

sensing for wellness. Wang et al. [4] at Dartmouth studied stress in 48 college students across a 10 week term, finding correlations between phone sensor ...

#27. XSL•FO - ScienceOpen

Background: Stress levels among college students have been on the rise for the last ... Methods: We used a mobile sensing app, StudentLife, in tandem with a ...

#28. Evaluating depression with multimodal wristband-type ...

medicine, the use of wearable devices in clinical research and application ... Tracking depression dynamics in college students using mobile · phone and ...

#29. Predicting Subjective Measures of Social Anxiety from ...

Embedded sensors in technologies like smartphones and wearable devices can be ... Tracking depression dynamics in college students using mobile phone and ...

#30. Personalized Student Stress Prediction with Deep Multitask ...

W. M., Heatherton, T. F., and Chambell, A. T. Tracking depression dynamics in college students using mobile phone and wearable sensing.

#31. Exploring the digital footprint of depression: a PRISMA ...

The use of mobile devices, wearable technologies, and social media offers a wealth of health-related data to objectively assess symptoms of ...

#32. Predicting stress and depressive symptoms using high ...

smartphone behavior, sleep, mental health, depressive symptoms, ... Tracking depression dynamics in college students using mobile phone and wearable sensing.

#33. Predicting Symptoms of Depression and Anxiety Using ...

The most widely used sensor in wearable devices is the accelerometer, most commonly used to measure an individual's physical activity. There is ...

#34. Personal Sensing: Understanding Mental Health Using ...

Smartwatches and wearable devices containing onboard sensors that track activity and physiological functions are increasingly popular. People leave digital ...

#35. Mood ratings and digital biomarkers from smartphone ... - Jultika

tification of human behaviour using mobile sensors to augment traditional methods ... Tracking depression dynamics in college students using.

#36. Personalized machine learning of depressed mood using ...

Wang, R. et al. Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc. ACM Interact. Mob. Wearable.

#37. An Intelligent Energy-driven System for Mobile Health ... - ThinkMind

Keywords–Mobile sensing; Healthcare monitoring; Energy ... depression dynamics in college students using mobile phone and wearable sensing,” Proceedings.

#38. Passive mobile sensing and psychological traits for large ...

by the use of passive sensing in addition to mood reports, however this adds additional noise. ... The pervasiveness of smartphones and wearable devices has.

#39. Internet of Things for Mental Health: Open Issues in Data ...

phones, wearables and ambient sensors were considered as IoT technologies, ... College Students Using Mobile Phone and Wearable Sensing.

#40. Jacobson & Chung, 2020.pdf

contexts of persons daily lives via smartphones and wearable sensors can distinguish those with major depressive disorder (MDD) from ...

#41. A MOBILE SENSING APP FOR MENTAL HEALTH TO ...

A study used StudentLife application to track depression in college students using a combination of smartphone and wearable sensors, and.

#42. Predicting Symptom Trajectories of Schizophrenia using ...

The CrossCheck symptom prediction system is capable of tracking schizophrenia symptoms based on BPRS using passive sensing from mobile phones.

#43. Leveraging Collaborative-Filtering for Personalized Behavior ...

Modeling: A Case Study of Depression Detection among College. Students ... can be tracked by sensors embedded in mobile phones and wearable devices.

#44. Quantifying the Relationships Between Everyday Objects and ...

The commoditization of devices such as smartphones, wearables and sensors have ... Tracking Depression Dynamics in College Students Using Mobile Phone and ...

#45. A scoping review on monitoring mental health using smart ...

common techniques and results of smart wearable devices for the detection ... stress perception and mental health of college students using.

#46. Wearable, Environmental, and Smartphone-Based Passive ...

Smartphone-Based Passive Sensing for Mental Health Monitoring. ... investigated wearable, mobile phone, and ambient sensors,.

#47. Correlations Between Objective Behavioral Features ...

collected via mobile and wearable devices and depressive mood symptoms. Hence, continuous and everyday monitoring of behavioral aspects in affective ...

#48. One More Bite? Inferring Food Consumption Level of College ...

such a rich combination of data sources allows to analyze eating behavior of college students using knowledge from nutrition and mobile sensing research by ...

#49. Trajectories of Depression - Mirco Musolesi

Unobtrusive Monitoring of Depressive States by means of ... University of Birmingham, UK ... by means of mobile phone sensing applications [7], i.e., by.

#50. XSL•FO - Janine M. Dutcher

sensing on personal devices can lead to the development of interventions aimed ... to provide an overview of loneliness in college students, ...

#51. Remote Assessment of Depression Using Digital Biomarkers From ...

from 2 weeks of mobile phone use (e.g., location variance, ... status, call logs, location sensing) over the course of a college semester, Xu et al.

#52. Methodologies for Depression Detection using Smart Wearables

“Tracking. Depression Dynamics in College Students Using Mobile. Phone and Wearable Sensing.” Proceedings of the ACM on interactive, Mobile, Wearable and ...

#53. King's Research Portal

monitoring depression are needed. Recently, the use of mobile phones with embedded sensors for depression detection and.

#54. Understanding Mental Health Using Ubiquitous Sensors and ...

Sensors in everyday devices, such as our phones, wearables, ... We use a simplified version of a mobile-phone sensing platform for detecting ...

#55. Identifying Mobile Sensing Indicators of Stress-Resilience

resilience using passive wearable sensors and ... Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing.

#56. Prediction of Mood Instability with Passive Sensing

Smart devices also allow for combining passive sensing with active user querying ... college students on campus and peers in workplaces. ... when a dynamic.

#57. Wearable artificial intelligence for anxiety and depression

in real-time by wearable devices for the diagnosis and monitoring of patients with anxiety ... Tracking Depression Dynamics in College Students Using Mobile.

#58. Smartphone Sensing for the Well-Being of Young Adults

wearable sensors for monitoring behavioral patterns, health ... the widespread use of mobile phones in the 2000s, several.

#59. Smartphones in mental health: a critical review of background ...

The percentage of cellphones that are smartphones in the US has ... study of mobile sensing of 126 adults with depression recruited from the ...

#60. Longitudinal Relationships Between Depressive Symptom ...

monitoring depression are needed. Recently, the use of mobile phones with embedded sensors for depression detection and.

#61. 통신정보합동학술대회(JCCI'98) 논문 제출 양식 - Amazon AWS

Tracking Depression Dynamics in College Students Using Mobile. Phone and Wearable Sensing. Proc. ACM Interact. Mob. Wearable. Ubiquitous Technol.

#62. Joint Modeling of Heterogeneous Sensing Data for ...

The present work represents a large-scale effort to collect and integrate data from mobile phones, wearable devices, and self reports in depression analysis ...

#63. Leveraging Routine Behavior and Contextually-Filtered ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proceedings of ACM Interactive, Mobile,.

#64. Fusing Mobile Phone Sensing and Brain Imaging to ... - bioRxiv

Smartphone usage has become nearly ubiquitous in daily life at a time when depression rates are concurrently rising, particularly among college students.

#65. Tracking Fatigue and Health State in Multiple Sclerosis ...

Each patient was given 3 connected wellness devices (sleep tracker, smart ... from wearables and smart phones to track college student's level of depression ...

#66. Lyfas, A Smartphone-Based Subclinical Depression Tracker

Studies have been conducted to use wearable devices and smartphones to analyze and predict mental health. Oura ring. (wearable device) and Apple ...

#67. Multi-view Bi-clustering to Identify Smartphone Sensing ...

continuous monitoring of depression or its onset. The ubiquitous adoption of smartphones has ... from smartphone built-in sensors of 60 college students for.

#68. 104571-PB3-3201-R2.pdf - AME Publishing Company

Wearable devices and mobile health for the identification and monitoring of mental illness. Wearable sensors can act as a clinical adjunct and provide.

#69. SMARTPHONE-BASED MONITORING OF MOOD DISORDERS

'mobile monitoring' OR 'mobile phones' OR 'smartphones'. OR 'portable sensors'. To identify studies related to specific mental illnesses, the following ...

#70. XSL•FO - Monash University

Using Wearable Sensors and Mobile Phones: Observational Study ... 201 college students (age: 18-25 years, male:female=1.8:1) at one ...

#71. Beyond Mobile Apps - Edinburgh Research Explorer

R. Wang et al., “Tracking Depression Dynamics in College. Students Using Mobile Phone and Wearable Sensing,” Proc. ACM Interactive, Mobile, Wearable ...

#72. Mobile, Social, and Wearable Computing and the Evolution of ...

data sets generated by self-tracking of mood and passive sensing of voice, ... In the last decade, the mobile phone has taken on greater.

#73. Mental Health Insights from Individual Physiologic and ...

provide an opportunity to track mental health related parameters ... The increasingly ubiquitous use of wearables and smart devices.

#74. Systematic review of smartphone-based passive sensing for ...

mHealth; mobile phones; consumer health information technology; ... and tracking of health-related data, from daily weights to calorie counts to pain scores ...

#75. Predicting Calmness, Anxiety, and Depression using ...

Predicting Calmness, Anxiety, and Depression using. Wearable Sensors. Rajlakshmi Borthakur, Natwar Sharma, Priya Ranjan Pattanaik. Abstract.

#76. Objective Assessment of Depressive Symptoms with Machine ...

Machine Learning and Wearable Sensors Data ... continuously from E4 wearable wristbands and from sensors ... depressive symptoms and mobile phone usage.

#77. Protocol for a mHealth Study

mHealth apps and wearable sensors may help monitor students at risk of ... of using a wearable sensor and a survey in a college student ...

#78. Research on the Application of Wireless Wearable Sensing ...

The recognition rate of wireless wearable devices and interactive music ... “Tracking depression dynamics in college students using mobile ...

#79. Personalised depression forecasting using mobile sensor ...

56), and, crucially, mood prediction from wearable sensors ... Using mobile phones and sensors, data was also passively.

#80. Ecological momentary interventions for mental health - PLOS

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proceedings of the ACM on Interactive, Mobile, ...

#81. For Review Only - EMA WELLNESS

Tracking Depression Dynamics in College Students Using Mobile Phone and. Wearable Sensing. Proceedings of the ACM on Interactive, Mobile, ...

#82. Mobile Phone and Wearable Sensor-Based mHealth ...

Downloaded from Helda, University of Helsinki institutional repository. ... mobile phones and wearable sensors with depressive mood.

#83. Automated Cognitive Health Assessment Using Partially-Complete ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proceedings of the ACM on Interactive,. Mobile, Wearable and ...

#84. Studying Depression with Wearable Devices - Labfront

Three startups have come together to pilot a project to help understand more about depression using mobile therapy and biomarkers from ...

#85. a Survey of Technologies for Mental Well-being

dergraduate students rated their mental health as poor or ... would be interested in using mobile phone apps for mental health monitoring ...

#86. Depression Assessment Based on Technology using ...

Data can be collected from the onboard sensors and other phone logs ... We can think in a lot of wearable devices, but all of them have one ...

#87. bentley_et_al._2019.pdf - Nock Lab

Recent advances in real-time monitoring technology, such as digital ecological momentary assessment, passive smartphone-based behavioral ...

#88. Smartphone-Based Tracking of Sleep in Depression, Anxiety ...

itoring sleep using smartphones and wearable devices among individuals with ... rhythm”); (2) mobile sensing technology (e.g., “smartphone,”.

#89. Using Smartphones and Wearable Technology to Monitor ...

Artificial intelligence may be able to use data from wearable devices and ... Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors.

#90. Google Trends as a Method to Predict New COVID-19 ... - EconStor

In Croatia search activities using GT for terms such as "PCR +COVID", and symptoms "cough + corona", "pneumonia + corona"; "muscle pain + corona" correlate ...

#91. Monitoring Changes in Depression Severity Using Wearable ...

Three machine-learning models estimating depressive symptom severity were developed–one combining features from smartphone and wearable sensors, ...

#92. Canon Multipass L90 Parts Catalog Pdf

Devices: Covers antennas for all modern portable wireless devices from handsets, RFID tags, laptops, wearable sensors, UWB-based.

#93. StressMon: Scalable detection of perceived stress and ...

perceived stress and depression using passive sensing of changes in work ... Tracking Depression Dynamics in College Students Using Mobile Phone and ...

#94. nathan zhang applied materials - Poesie in Fiore

Photo of Jingxuan Zhang 31 May 2022 University; Jing Zhang – Heraeus ... (2003) 1. pdf from BIOLOGY 101 at Irvington High School, Irvington. com) and phone ...

#95. Applied Affective Computing - Google 圖書結果

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. , , – .

#96. Extraction and Interpretation of Deep Autoencoder-based ...

evaluated using wearable sensor data and wellbeing labels collected from college ... Tracking depression dynamics in college students using mobile phone and ...

#97. Pervasive Computing Technologies for Healthcare: 15th EAI ...

Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

#98. Digital phenotyping for mental health of college students - OUCI

https://doi.org/10.1007/978-3-319-20267-9_20; Wang, Tracking depression dynamics in college students using mobile phone and wearable sensing, ...