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Opportunities and Pitfalls in Applying Emotion Recognition Software for Persons With a Visual Impairment: Simulated Real Life Conversations

Opportunities and Pitfalls in Applying Emotion Recognition Software for Persons With a Visual Impairment: Simulated Real Life Conversations

Given the need from the community and the potential of emotion recognition software in meeting these needs, we investigated to what extent such emotion recognition software can support visually impaired persons in their daily lives.Previously, we presented

Hendrik Buimer, Renske Schellens, Tjerk Kostelijk, Abdellatif Nemri, Yan Zhao, Thea Van der Geest, Richard Van Wezel

JMIR Mhealth Uhealth 2019;7(11):e13722


Comparing Web-Based and Lab-Based Cognitive Assessment Using the Cambridge Neuropsychological Test Automated Battery: A Within-Subjects Counterbalanced Study

Comparing Web-Based and Lab-Based Cognitive Assessment Using the Cambridge Neuropsychological Test Automated Battery: A Within-Subjects Counterbalanced Study

Memory, (D) Spatial Working Memory, (E) Emotion Recognition Task, and (F) Rapid Visual Information Processing.Paired associate learning (PAL) [22] is an 8-min test of visual episodic memory.

Rosa Backx, Caroline Skirrow, Pasquale Dente, Jennifer H Barnett, Francesca K Cormack

J Med Internet Res 2020;22(8):e16792


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

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

Logistic regression performed poorly across all conditions, showing that using data from different users to do emotion recognition on a different user is not possible with current features and logistic regression.

Juan Carlos Quiroz, Elena Geangu, Min Hooi Yong

JMIR Ment Health 2018;5(3):e10153


Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study

Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study

However, in these emotionally charged conversations, the ability of the virtual patient to project a recognizable emotion is a key element to creating a valid user experience [7].

Patrick Motz, Megan Gray, Taylor Sawyer, Jennifer Kett, Douglas Danforth, Kellen Maicher, Rachel Umoren

JMIR Serious Games 2018;6(2):e8


Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Bipolar disorders are further associated with a generally amplified emotionality [38,39] and difficulties in emotion processing and regulation [40-44], in emotion recognition [45-47], and in the expression of emotions [48,49].

Henning Daus, Timon Bloecher, Ronny Egeler, Richard De Klerk, Wilhelm Stork, Matthias Backenstrass

JMIR Ment Health 2020;7(7):e14267


Identification of Emotional Expression With Cancer Survivors: Validation of Linguistic Inquiry and Word Count

Identification of Emotional Expression With Cancer Survivors: Validation of Linguistic Inquiry and Word Count

Given these shortcomings and the need to independently validate LIWC 2007 and LIWC 2015 for emotion recognition in text [23,24], we sought to determine whether LIWC 2007 and LIWC 2015 are valid for emotion recognition in text and whether they improve upon the

Michelle McDonnell, Jason Edward Owen, Erin O'Carroll Bantum

JMIR Form Res 2020;4(10):e18246


Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

In the area of pattern recognition, kNNs [44] are the most effective method that exploits repeated patterns. The kNN algorithm has been successfully applied to forecast to histogram time series in financial data [45].

Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Phung, Svetha Venkatesh

JMIR Med Inform 2016;4(3):e25