Telemetry-based optimisation for user training in racing simulators

Bugeja, Keith; Spina, Sandro; Buhagiar, Francois

doi:10.1109/vs-games.2017.8055808

Cited by 5 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In racing competitions, there is a concept called the racing line (Figure 1). The racing line is the route a racing driver follows to take corners in the shortest time at the highest average speed [6]. By using all the available space on the track, cars can travel in a straighter line and travel faster before reaching the limits of grip.…”

Section: Heuristic Identification Of the Strategy By Exercisesmentioning

confidence: 99%

See 1 more Smart Citation

Game Strategy Analysis Methodology

Chindea¹,

Iosif²,

Elekes³

et al. 2022

RoCHI - International Conference on Human-Computer Interaction

View full text Add to dashboard Cite

The video games are grouped in different categories such as Action, Adventure, Racing, Platform, Simulation, Role-Playing, etc. As an example, an Action game focuses on the interaction with users, they are challenging and require good skills from the users, such as reaction-time, hand-eye coordination. In Racing games, players participate in racing competitions, such as car races, etc. However, in most of the cases, video games combine aspects of different categories. RELATED WORKMany of the game strategies in which two competitors are in competition are solved by finding the Nash equilibrium, a notion defined and demonstrated in 1950 by the mathematician John Forbes Nash [1]. The Nash equilibrium describes a state of strategic equilibrium, in which a player

show abstract

Section: Heuristic Identification Of the Strategy By Exercisesmentioning

confidence: 99%

“…RL is mentioned in the literature as a good approach for strategical decision making in video games [6]. The work reviews the literature for AI techniques applied in RTS games and studies especially the game named Starcraft.…”

Section: Introductionmentioning

confidence: 99%

Game Strategy Analysis Methodology

Chindea¹,

Iosif²,

Elekes³

et al. 2022

RoCHI - International Conference on Human-Computer Interaction

View full text Add to dashboard Cite

show abstract

A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing

Hojaji

Toth

Campbell

2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

The emerging progress of esports lacks the approaches for ensuring high-quality analytics and training in professional and amateur esports teams. In this paper, we demonstrated the application of Artificial Intelligence (AI) and Machine Learning (ML) approach in the esports domain, particularly in simulated racing. To achieve this, we gathered a variety of feature-rich telemetry data from several web sources that was captured through MoTec telemetry software and the ACC simulated racing game. We performed a number of analyses using ML algorithms to classify the laps into the performance levels, evaluating driving behaviors along these performance levels, and finally defined a prediction model highlighting the channels/features that have significant impact on the driver performance. To identify the optimal feature set, three feature selection algorithms, i.e., the Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost) and Random Forest (RF) have been applied where out of 84 features, a subset of 10 features has been selected as the best feature subset. For the classification, XGBoost outperformed RF and SVM with the highest accuracy score among the other evaluated models. The study highlights the promising use of AI to categorize sim racers according to their technical-tactical behaviour, enhancing sim racing knowledge and know how.

show abstract