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Filtering joystick data for shooter design really matters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6972 LNCS 264-269
DOI: 10.1007/978-3-642-24500-8_28
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Abstract

Designing satisfactory, quick and precise control schemes for shooters on consoles remains one of the major game play programming challenges today. Besides the application of game situation specific control aids like soft locking even simple and game unspecific filtering approaches can improve the control quality significantly. In this paper we will objectify and quantify this effect that is well known among game developers as heuristic knowledge. © 2011 Springer-Verlag.

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APA

Lürig, C., & Carstengerdes, N. (2011). Filtering joystick data for shooter design really matters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6972 LNCS, pp. 264–269). https://doi.org/10.1007/978-3-642-24500-8_28

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