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Conference papers
A forecasting algorithm for latency compensation in indirect human-computer interactions
Abstract : Human-computer interactions are greatly affected by the latency between the human input and the system visual response. The compensation of this latency is an important problem for the HCI (human-computer interaction) community. In this work, a simple forecasting algorithm is developed for latency compensation in indirect interaction using a mouse, based on numerical differentiation. Several differentiators are compared, including a novel algebraic version. An optimized procedure is developed for tuning the parameters of the algorithm. The efficiency is demonstrated on real data, measured with a 1 ms sampling time.
Cited literature [24 references]
https://hal.inria.fr/hal-01420653
Contributor : Géry Casiez <>
Submitted on : Tuesday, January 24, 2017 - 11:44:53 AM
Last modification on : Friday, December 11, 2020 - 6:44:06 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 2:11:14 PM
Contributor : Géry Casiez <>
Submitted on : Tuesday, January 24, 2017 - 11:44:53 AM
Last modification on : Friday, December 11, 2020 - 6:44:06 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 2:11:14 PM
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UECRP_ECC_2016.pdf
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