KaraKter: An autonomously interacting Karate Kumite character for VR-based training and research

Zhang, Liang; Brunnett, Guido; Petri, Katharina; Danneberg, Marco; Masik, Steffen; Bandow, Nicole; Witte, Kerstin

doi:10.1016/j.cag.2018.01.008

Cited by 18 publications

(28 citation statements)

References 20 publications

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“…With regard to the use of autonomous VCs, we only found plans to use these systems in anticipation research in the future, but no specific studies exist until now (Petri et al, 2017, Zhang et al, 2018. Argelaguet Sanz, Multon & Lécuyer (2015) use an autonomous VE to analyze anxiety and pressure considering two scenarios: training (no stress) and competition (stress by loud audience).…”

Section: Resultsmentioning

confidence: 99%

Using Several Types of Virtual Characters in Sports - a Literature Survey

Petri

Bandow

Witte

2018

International Journal of Computer Science in Sport

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This article discusses the development and application of virtual environments (VEs) in the domain of exercise as well as research in recreational and high-performance sports. A special focus is put on the use of virtual characters (VCs). For its elaboration, the following criteria parameters were chosen: scene content and the role of the VC, output device, kind of additional feedback, level of expertise of the tested participants, kind of user’s movement (reaction), kind of the visualization of the user’s body, kind of study and kind of evaluation. We explored the role of VCs embodying virtual opponents, teammates, or coaches in sports. We divided these VCs in passive and autonomous characters. Passive VCs are not affected by the user, whereas autonomous VCs adapt autonomously to the user’s movements and positions. We identified 44 sport related VEs, thereof 22 each in the domain of recreational sports and high-performance sports: of the identified 44 VEs, 19 VEs are without VC, 20 VEs with passive VCs, and 5 VEs with autonomous VCs. We categorized studies examining expert athletes in high-performance sports as well as studies analyzing novices, beginners or advanced athletes in recreational sports. Nevertheless, all identified systems are suitable for athletes of recreational and high-performance level

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Section: Resultsmentioning

confidence: 99%

Using Several Types of Virtual Characters in Sports - a Literature Survey

Petri

Bandow

Witte

2018

International Journal of Computer Science in Sport

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“…According to the passive opponent, the athletes had to step in place and could only change their position when they reacted to the attack. It would be desirable for future training studies to perform such an intervention with an autonomous character which is able to recognize the position and the movements of the real athlete and can perform an adequate attack in order to the position and the appropriate distance between the athlete and himself selfreliantly (Petri et al, 2017, Zhang et al, 2018. Then the real athlete could step in place, as well as moving and rotating in all directions which is closer to a karate fight in reality.…”

Section: Discussion and Future Directionsmentioning

confidence: 99%

“…Three types of virtual environments (VE) exist: VE without a virtual character, VE with a passive character, and VE with an autonomous character. Autonomous characters, which can adapt their reactions to the positions and movements of the user are rare in sports (for further detail see Petri et al, 2017, Zhang et al, 2018. Passive characters, which cannot take the positions and movements of the user into account, exist more frequently in sport related VEs.…”

Section: Introductionmentioning

confidence: 99%

Possibilities to Use a Virtual Opponent for Enhancements of Reactions and Perception of Young Karate Athletes

Petri

Masik

Danneberg

et al. 2019

International Journal of Computer Science in Sport

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We conducted a virtual reality (VR) training with ten sessions, performed by fifteen young karate athletes, who responded to attacks of a virtual opponent to improve their response behavior and their decision-making. The control groups continued with their normal training. Results of the Friedman tests with subsequent Dunn-Bonferroni post-hoc-tests and estimation of effect sizes showed that the karate specific response behavior (measured by a movement analysis) improved significantly due to the training. The parameters time for response (as the time for the attack initiation) and response quality improved with large effect sizes for the intervention groups, whereas the control groups demonstrated improvements with only small effect sizes. The unspecific response behavior (analyzed by two forms of the reaction test of the Vienna test system) did not show any significant changes. Paired t-tests revealed an improvement in attack recognition. While in the pretests, the intervention groups responded to late movement stages of the attack (execution of the main phase), they responded to early movement stages (reduction of distance and preparing steps) in the posttests. Furthermore, Friedman-tests and bivariate correlation analysis showed that the intervention groups were highly motivated to perform the VR training because of the new and safe learning conditions.

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“…On the other hand, full-body tracking wearable systems exist (e.g. [9,16]), but they are expensive and can be difficult to put on.…”

Section: Movement and Punch Detectionmentioning

confidence: 99%

Exploring the Addition of Audio Input to Wearable Punch Recognition

Ovalle

Stawarz

Marzo

2019

Proceedings of the XX International Conference on Human Computer Interaction

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available:ABSTRACT Martial arts can promote healthy lifestyles, improve selfconfidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and support self-directed training. However, many martial arts do not use gloves which means that punches can be performed with different parts of the hand, and therefore produce a different sound on impact. We investigate if it is possible to recognise different punches executed with a bare hand, and if the recognition rate improves by combining audio input with the traditional inertial sensors. We conducted a pilot study collecting a total of 600 punches, using a wearable wristband to capture inertial data and a stand-alone microphone for audio input. The results showed that it was possible to distinguish five types of punches with 94.4% accuracy when using only inertial data, and that adding audio input did not improve the accuracy. These findings can guide the design of future wearables for punch recognition. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Interaction devices; • Hardware → Sensors and actuators; Sound-based input / output.

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KaraKter: An autonomously interacting Karate Kumite character for VR-based training and research

Cited by 18 publications

References 20 publications

Using Several Types of Virtual Characters in Sports - a Literature Survey

Using Several Types of Virtual Characters in Sports - a Literature Survey

Possibilities to Use a Virtual Opponent for Enhancements of Reactions and Perception of Young Karate Athletes

Exploring the Addition of Audio Input to Wearable Punch Recognition

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