抄録
In public speaking, speakers are evaluated on verbal delivery and nonverbal delivery, and in particular, the mouth shape has an important role to support both of these. The mouth shape is mainly set during vowel utterance. We define the mouth shape, which can prompt the pronunciation of the speaker clearly and enrich the facial expression, as a good mouth shape in this research. The authors assume that a good mouth shape can be inferred from the bulging of the platysma muscle in the neck. We aim to support vowel utterances with a good mouth shape, and propose a system to recognize them. Specifically, we measure the uplift of the platysma muscle with photoreflectors and apply a machine learning method to implement a system to judge whether vowel utterances are being performed with a good shape. We conduct an accuracy measurement experiment of the proposed system and report the result. Finally, we describe the application that provides feedback of vowel utterances with a good mouth shape.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings of the 9th Augmented Human International Conference, AH 2018 |
出版社 | Association for Computing Machinery |
巻 | Part F134484 |
ISBN(電子版) | 9781450354158 |
DOI | |
出版ステータス | Published - 2018 2月 6 |
イベント | 9th Augmented Human International Conference, AH 2018 - Seoul, Korea, Republic of 継続期間: 2018 2月 7 → 2018 2月 9 |
Other
Other | 9th Augmented Human International Conference, AH 2018 |
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国/地域 | Korea, Republic of |
City | Seoul |
Period | 18/2/7 → 18/2/9 |
ASJC Scopus subject areas
- 人間とコンピュータの相互作用
- コンピュータ ネットワークおよび通信
- コンピュータ ビジョンおよびパターン認識
- ソフトウェア