Biswas, Pradipta and Twist, Samuel and Godsill, Simon J (2017) Intelligent Finger Movement Controlled Interface for Automotive Environment. In: 31st International BCS Human Computer Interaction Conference: Digital Make Believe, HCI 2017, 3 - 6 July 2017, Sunderland.
|
PDF
BCS_HCI_2017.pdf - Published Version Download (636kB) | Preview |
Abstract
This paper presents an intelligent finger tracking system to operate infotainment systems or instrument panels in automotive environment. We developed algorithms to control an onscreen pointer using off-the-shelf infra-red sensors and reported a user study on pointing and selection tasks undertaken using the finger tracking system. We proposed polynomial models to predict probable targets and a Bayesian Fusion Model to integrate eye gaze locations of users with their finger tracks. The predictive fusion model resulted in less than 2 seconds pointing and selection times on average inside a car running on a motorway.
Item Type: | Conference Paper |
---|---|
Publisher: | BCS Learning and Development Ltd. |
Additional Information: | The Copyright of this article belongs to the Authors. |
Keywords: | Eye gaze tracking; Finger tracking; Multimodal fusion |
Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
Date Deposited: | 24 Jun 2022 09:24 |
Last Modified: | 24 Jun 2022 09:24 |
URI: | https://eprints.iisc.ac.in/id/eprint/73534 |
Actions (login required)
View Item |