CUED Publications database

Destination inference using bridging distributions

Ahmad, BI and Murphy, J and Langdon, PM and Hardy, R and Godsill, SJ (2015) Destination inference using bridging distributions. In: UNSPECIFIED pp. 5585-5589..

Full text not available from this repository.

Abstract

© 2015 IEEE. We propose a novel probabilistic inference approach that permits predicting, well in advance, the intended destination of a pointing gesture aimed at selecting an icon on an in-vehicle interactive display. It models the partial 3D pointing track as a Markov bridge terminating at a nominal destination. The solution introduced leads to a low-complexity Kalman-filter-type implementation and is applicable in other areas in which early detection of the destination of a tracked object is beneficial. Data collected in an instrumented vehicle illustrate that the proposed technique can infer the intent notably early in the pointing gesture. This can drastically reduce the pointing task time and visual-cognitive-manual attention required.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div C > Engineering Design
Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:43
Last Modified: 12 Oct 2017 01:48
DOI: