Simulating competitive interactions using singly captured motions

Shum, Hubert P. H.; Komura, Taku; Yamazaki, S.

doi:10.1145/1315184.1315194

Cited by 30 publications

(40 citation statements)

References 22 publications

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“…Shum et al simulate the interaction of two boxing characters, based on motion capture data [8]. Shum et al developed this further in 2008 by simulating many characters with a model called interaction patch, which was used with min-max search techniques to generate a series of motions innon-player characters.…”

Section: B Fight Simulationmentioning

confidence: 99%

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Multi-Character Fighting Simulation

Sukoco¹,

Wardoyo²,

Harjoko³

et al. 2018

IJISA

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Abstract-In the development of and research into multicharacter fighting computer games, Non-Player Characters (NPCs) frequently seem less intelligent owing to them having a single focus. As such, multi-character fighting becomes one-on-one fighting; one character will encounter another character only once the previous opponent is defeated. This study develops a new model in multi-character fighting, in which each NPC can simultaneously fight against many characters. Following this model, each character becomes an agent that makes his own decisions. The first advantage of this model is the integration of multi-character behaviors in fights. Each character can seek out enemies/opponents, select one target opponent, avoid obstacles, approach the target opponent, change the target opponent, and then defeat the opponent or be defeated by the opponent; in other words, each character can thus fight against many opponents. All of the behaviors in the fight take place automatically. The second advantage of this model is that each character does not only focus on the opponent being targeted, but also on the other opponents surrounding him. Each character can move from one opponent to another, even when the target opponent is not yet defeated. The third advantage of this model is that each character can move to another fight cluster, thus ensuring that fights seem more dynamic. This research has experimented with the model using a 3D application that can run on personal computers or smart phones.

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Section: B Fight Simulationmentioning

confidence: 99%

“…In simulation by Shum et al [7], it seems that characters only attack or avoid attacks automatically. This is limited to generating scenes where multiple characters continuously interact and require enemies to be defeated after interaction [8]. As such, NPCs will only switch their targets if the opponent being fought is defeated.…”

Section: Introductionmentioning

confidence: 99%

Multi-Character Fighting Simulation

Sukoco¹,

Wardoyo²,

Harjoko³

et al. 2018

IJISA

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“…Treuille et al [2007] also used reinforcement learning to simulate pedestrians avoiding each other. Shum et al [2007] proposed a method to compute the optimal action in a competitive environment by using minmax search. They also proposed a real-time approach based on an automatically produced finite state machine [Shum et al 2008].…”

Section: Synthesizing and Controlling Close Interaction For Computer mentioning

confidence: 99%

Interactive partner control in close interactions for real-time applications

Chan

Komura

et al. 2013

ACM Trans. Multimedia Comput. Commun. Appl.

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This article presents a new framework for synthesizing motion of a virtual character in response to the actions performed by a user-controlled character in real time. In particular, the proposed method can handle scenes in which the characters are closely interacting with each other such as those in partner dancing and fighting. In such interactions, coordinating the virtual characters with the human player automatically is extremely difficult because the system has to predict the intention of the player character. In addition, the style variations from different users affect the accuracy in recognizing the movements of the player character when determining the responses of the virtual character. To solve these problems, our framework makes use of the spatial relationship-based representation of the body parts called interaction mesh, which has been proven effective for motion adaptation. The method is computationally efficient, enabling real-time character control for interactive applications. We demonstrate its effectiveness and versatility in synthesizing a wide variety of motions with close interactions.

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“…They also have problems simulating stylized interactions as the objective functions are designed for each character just to compete well. Game tree expansion [Shum et al 2007] is an effective method to synthesize realistic interactions among characters. This method is similar to the way that computer-based chess players select their moves.…”

Section: Related Workmentioning

confidence: 99%

“…It is composed of five steps: (1) Capture the motion of a single person using a motion capture system. (2) Create the action-level motion graph [Shum et al 2007], in which the actions are all annotated.…”

Section: Our Approachmentioning

confidence: 99%

Interaction patches for multi-character animation

et al. 2008

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We propose a data-driven approach to automatically generate a scene where tens to hundreds of characters densely interact with each other. During off-line processing, the close interactions between characters are precomputed by expanding a game tree, and these are stored as data structures called interaction patches. Then, during run-time, the system spatio-temporally concatenates the interaction patches to create scenes where a large number of characters closely interact with one another. Using our method, it is possible to automatically or interactively produce animations of crowds interacting with each other in a stylized way. The method can be used for a variety of applications including TV programs, advertisements and movies.

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Simulating competitive interactions using singly captured motions

Cited by 30 publications

References 22 publications

Multi-Character Fighting Simulation

Multi-Character Fighting Simulation

Interactive partner control in close interactions for real-time applications

Interaction patches for multi-character animation

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