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Paper: "Sentiment Pen: Recognizing Emotional Context Based on Handwriting Features"
Question: "How a digital system could recognize the emotional context of the interaction."
Related Work: "Theory of emotion,Emotion Recognition,Handwriting Analysis,Neural Substrate of Emotion"
Solution: This report is trying to extract emotional recognition features from handwriting instead of facial recognition in previous study.
Experimental Design: "Participant: Thirteen volunteers aged 19 to 40 years
Independent Var. Apparatus
Dependent Var. task from user.
Apparatus: Film clip on a 49 inch 4K TV
Handwriting 1st generation Apple iPad pro 12.9 inch tablet with Apple pencil stylus.
Procedure Watch the video clip and perform 3 writing task.
Re-write random 15 emotional natural word from TV screen. And similar task but different words with 30 secs and o write a line of the following characters: o, /, |, -, :, +. "
Method: Qualitative measurement on user-feedback
Analysis: one-to-one ANOVA test
Results: "This work shows the potential to build a system capable of recognizing people’s emotions, which could give us a better insight into how the human computer interaction could evolve and even how we could improve the communication between people."
Gap:
Owner: Bank