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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

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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

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Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses

Children with autism are well known to differ from neurotypical controls (NCs) in their emotion recognition and facial processing patterns [4-9].

Anish Nag, Nick Haber, Catalin Voss, Serena Tamura, Jena Daniels, Jeffrey Ma, Bryan Chiang, Shasta Ramachandran, Jessey Schwartz, Terry Winograd, Carl Feinstein, Dennis P Wall

J Med Internet Res 2020;22(4):e13810

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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

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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

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Using a Virtual Serious Game (Deusto-e-motion1.0) to Assess the Theory of Mind in Primary School Children: Observational Descriptive Study

Recognition of emotional facial expressions is an essential part of the theory of mind.

Esther Lázaro, Imanol Amayra, Juan Francisco López-Paz, Oscar Martínez, Manuel Pérez Alvarez, Sarah Berrocoso, Mohammad Al-Rashaida, Maitane García, Paula Luna, Paula Pérez-Núñez, Alicia Aurora Rodriguez, Paula Fernández, Pamela Parada Fernández, Mireia Oliva-Macías

JMIR Serious Games 2020;8(2):e12971

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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

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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

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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

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Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

Chandan Karmakar, Wei Luo, Truyen Tran, Michael Berk, Svetha Venkatesh

JMIR Ment Health 2016;3(3):e19

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