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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Method for Recognizing Pressing Position and Shear Force Using Active Acoustic Sensing on Gel Plates
| Title: | Method for Recognizing Pressing Position and Shear Force Using Active Acoustic Sensing on Gel Plates |
| Authors: | Watanabe, Hiroki Browse this author →KAKEN DB | | Sasaki, Kaito Browse this author | | Terada, Tsutomu Browse this author →KAKEN DB | | Tsukamoto, Masahiko Browse this author →KAKEN DB |
| Keywords: | touch interface | | pressing position recognition | | shear-force recognition | | active acoustic sensing |
| Issue Date: | 16-Dec-2022 |
| Publisher: | MDPI |
| Journal Title: | Sensors |
| Volume: | 22 |
| Issue: | 24 |
| Start Page: | 9951 |
| Publisher DOI: | 10.3390/s22249951 |
| Abstract: | A touch interface is an important technology used in many devices, including touch panels in smartphones. Many touch panels only detect the contact position. If devices can detect shear force in addition to the contact position, various touch interactions are possible. We propose a two-step recognition method for recognizing the pressing position and shear force using active acoustic sensing, which transmits acoustic signals to an object and recognizes the state of the object by analyzing its response. Specifically, we attach a contact speaker transmitting an ultrasonic sweep signal and a contact microphone receiving ultrasonic waves to a plate of gel. The propagation characteristics of ultrasonic waves differ due to changes in the shape of the gel caused by the user's actions on the gel. This system recognizes the pressing position and shear force on the basis of the difference in acoustic characteristics. An evaluation of our method involving a user-independent model confirmed that four pressing positions were recognized with an F1 score of 85.4%, and four shear-force directions were recognized with an F1 score of 69.4%. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/87736 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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