Image captioning has been actively studied these days, however, most of the systems output captions of factual expression. In this paper, an automatic affective image captioning system using emotion estimation is proposed. The proposed system consists of four parts: a base caption generation part composed by the conventional CNN (VGG16), a scene estimation part, an emotion estimation part, and a figurative expression generation part. When a human exists in an image, the emotion is estimated from his/her facial expression and simile is used. When a human does not exist in an image, personification of metaphor is used. Evaluation experiments have been carried out using three kinds of evaluation indexes; BLUE, METEOR, and CIDEr. The experimental results indicate the effectiveness of the proposed system to generate affective captions.

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The main purpose of this paper is to develop an easy-to-use smartphone case with “fall prevention function”. It shows as a remarkable point that our developed technique of determining the grip form reflecting the traditional craftsmanship verifies for the made-to-order wooden products. It also provides the experimental result of wooden smartphone case using electromyography (EMG). The experiment consists of two cases, with using a smart phone case and not it. Then, it compared with these two cases, the result of measuring the amplitude of gripping forces. The experiment suggests that using the smartphone case relatively clearly that applies significantly less gripping force, so that prevents dropping a smartphone. The experiment suggests that using the smartphone case it applies significantly less gripping force. It will provide a new guideline of the universal design as a case study of Kansei/affective engineering regarding human grip.

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