FPS GAME DEVELOPMENT USING ARTIFICIAL INTELLIGENCE, RAGDOLL PHYSICS & SPATIAL AUDIO FEATURE
LAKSHYA BHATT
, VARUN SRIVASTAVA , RAJ SAXENA , SARTHAK PREENJA , SNEHAL D CHAUDHARY
FPS creation, Ragdoll physics with Verlet Integration, artificial intelligence, sound sonification, 3D animation function.
This paper basically describes about the employment of computer science in FPS games and the components that involve under it to make it a wholesome game. we chose this topic due to a personal motivation; we play computer games a lot most of the time they're either RTS or FPS games. One of the aims of our contemporary First-Person Shooter (FPS) design is to produce a fascinating experience to the player. Our game development design works to give a full Player immersion, then, is also alleged to be a primarily emotional and demonstrated, from an awareness of ‘being in and part of’ reality to ‘being in and part of’ virtual specified, within ideal case scenario, Virtuality becomes substituted for a reality. This paper actually examines the role of a sound in enabling such event in a real FPS games it should be achieved sonically through an attention on mimic instead of realism. The paper utilizes and develops the previous add which a conceptual framework for the look and analysis of run and gun. Using GAME AI to make game NPC learn a perfect reaction to an opponent(player). Ragdoll physics is being used in animation effect which is usually used as a replacement for static death animations in a video games for better enhanced experience. In this paper we are working on game which will fulfil most of the needs for the players which was not been delivered by old games (i.e. 2D pixels games, etc).
"FPS GAME DEVELOPMENT USING ARTIFICIAL INTELLIGENCE, RAGDOLL PHYSICS & SPATIAL AUDIO FEATURE", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.539 - 545, September-2020, Available :https://ijsdr.org/papers/IJSDR2009091.pdf
Volume 5
Issue 9,
September-2020
Pages : 539 - 545
Paper Reg. ID: IJSDR_192498
Published Paper Id: IJSDR2009091
Downloads: 000347265
Research Area: Engineering
Country: Pune, maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
