CUED Publications database

Multi-modal target prediction

Biswas, P and Langdon, PM (2014) Multi-modal target prediction. In: UNSPECIFIED pp. 313-324..

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Users with severe motor impairment often depends on alternative input devices like eye-gaze or head movement trackers to access computers. However these devices are not as fast as computer mouse and often turn difficult to use. We have proposed a Neural-network based model that can predict pointing target by analyzing pointing trajectory. We have validated the model for standard computer mouse, eye-gaze and head movement trackers. The model is used to develop an adaptation system that can statistically significantly reduce pointing times. © 2014 Springer International Publishing.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div C > Engineering Design
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:16
Last Modified: 17 May 2018 06:39