@inproceedings{f86f2d195f7e4e6cbd38249744066871,
title = "The Pinch Sensor: An Input Device for In-Hand Manipulation with the Index Finger and Thumb",
abstract = "This paper presents the Pinch Sensor, an elastic input device to sense the fine motion and pinch force of the index finger and thumb - the two most used digits of human hands for in-hand object manipulation skills. In addition to open and close, the device would allow a user to control a robotic or simulated two-finger hand to reorient an object in three different ways and their combinations. A unique design of elastic sensing provides the users a high degree of perception resolution, as well as the sensation of holding an object with a certain level of stiffness between the index finger and thumb. These characteristics help the users to fine control the pinch force while carrying out manipulation skills. The design features a small size that allows it to be integrated to a handheld controller. Commonly available off-the-shelf components for consumer electronics are used to achieve affordability and reliability.",
keywords = "design, haptics, in-hand manipulation, input devices, sensing, teleoperation, virtual reality",
author = "Cong Wang and Deepak Vungarala and Kevin Navarro and Neel Adwani and Tao Han",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2023 ; Conference date: 28-06-2023 Through 30-06-2023",
year = "2023",
doi = "10.1109/AIM46323.2023.10196268",
language = "English (US)",
series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "822--827",
booktitle = "2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2023",
address = "United States",
}