VR-based Batter Training System with Motion Sensing and Performance Visualization

Takahashi, Kosuke; Mikami, Dan; Isogawa, Mariko; Kusachi, Yoshinori; Saijo, Naoki

doi:10.1109/vr.2019.8798005

Cited by 16 publications

(4 citation statements)

References 4 publications

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“…The only difference would be that an arrow head is added. Images from [9], [55], [20], [77], [75], [28], [73], [16], [79], [50], [10], [68], [13].…”

Section: J) Arrowsmentioning

confidence: 99%

“…This classical visualization of numerical data provides a detailed but abstract way to present movement information and correction cues to the user or instructor. As an example, Takahashi et al [68] visualize the velocity of various joints and a ball to evaluate a baseball bat swing.…”

Section: L) Graphsmentioning

confidence: 99%

“…3. Examples of visual cues used in the literature and described in subsection 4.9: a) Textual, b) Color coding, c) Body outline, d) End position, e) Transparent target avatar, f) Opaque target avatar, g) Abstraction, h) Video overlay, i) Rubber bands, j) Arrows, k) Trajectories, l) Graphs, m) Limb angles.Images from[9],[55],[20],[77],[75],[28],[73],[16],[79],[50],[10],[68],[13].…”

mentioning

confidence: 99%

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Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Diller

Scheuermann²,

Wiebel

2024

IEEE Trans. Visual. Comput. Graphics

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When learning a motor skill it is helpful to get corrective feedback from an instructor. This will support the learner to execute the movement correctly. With modern technology, it is possible to provide this feedback via mixed reality. In most cases, this involves visual cues to help the user understand the corrective feedback. We analyzed recent research approaches utilizing visual cues for feedback in mixed reality. The scope of this paper is visual feedback for motor skill learning, which involves physical therapy, exercise, rehabilitation etc. While some of the surveyed literature discusses therapeutic effects of the training, this paper focuses on visualization techniques. We categorized the literature from a visualization standpoint, including visual cues, technology and characteristics of the feedback. This provided insights into how visual feedback in mixed reality is applied in the literature and how different aspects of the feedback are related. The insights obtained can help to better adjust future feedback systems to the target group and their needs. This paper also provides a deeper understanding of the characteristics of the visual cues in general and promotes future, more detailed research on this topic.

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“…The only difference would be that an arrow head is added. Images from [9], [55], [20], [77], [75], [28], [73], [16], [79], [50], [10], [68], [13].…”

Section: J) Arrowsmentioning

confidence: 99%

Section: L) Graphsmentioning

confidence: 99%

mentioning

confidence: 99%

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Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Diller

Scheuermann²,

Wiebel

2024

IEEE Trans. Visual. Comput. Graphics

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show abstract

“…Personalisation is particularly important in sports where training plans and interventions are optimised for a specific athlete by considering the individual preferences and needs of the athletes together with the coaches' opinions (Hardy et al., 2015). Similarly, the increased availability of smart sensing devices has facilitated the development of learning technologies that can personalise learning by monitoring and assisting learners according to their individual goals and progress, in various scenarios (Di Mitri et al., 2018), including sports like baseball (Takahashi et al., 2019), martial arts (Chou et al., 2019) and table tennis (Mat Sanusi et al., 2021). The emergence of smart sensing learning technologies led to general approaches such as the multimodal learning experience (MLX).…”

Section: Introductionmentioning

confidence: 99%

Beyond hard workout: A multimodal framework for personalised running training with immersive technologies

Cardenas Hernandez,

Schneider,

Di Mitri

et al. 2024

Brit J Educational Tech

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Training to run is not straightforward since without proper personalised supervision and planning, people will not improve their performance and will increase the risk of injuries. This study aims to identify the different factors that influence running training programmes, examining the benefits, challenges or limitations of personalised plans. Moreover, this study explores how multimodal, immersive and artificial intelligence technologies can support personalised training. We conducted an exploratory sequential mixed research consisting of interviews with 11 running coaches from different countries and a survey of 12 running coaches. Based on the interviews and survey analysis, we identified and extracted relevant factors of the training process. We identified four relevant aspects for running training: physical, technical, mental and body awareness. Using these aspects as a reference, we derived a framework using a bottom‐up approach. This framework proposes multimodal, immersive and artificial intelligence technologies to facilitate personalised running training. It also allows coaches to personally guide their athletes on each aspect. Practitioner notesWhat is already known about this topic Running is a popular sport that provides health benefits and is practised by many people around the world. Training is a process that enables athletes to improve their development in various aspects of their sport; in the case of running, it helps them to increase their speed and endurance. Personalised training supports the needs and abilities of athletes, by helping them to achieve their potential through individualised activities or programmes. Sports science research indicates that personalised training can be improved by applying technology to tackle its challenges and limitations. What this paper adds We show that personalising the training requires not only focusing on the runners' physical condition but also on their mental, technical and body awareness aspects, where each of them has a different adaptation to training. We show that multimodal and immersive technologies offer suitable and portable ways to measure and target the mental and body awareness aspects during running training. Implications for practice and/or policy This paper presents a list of factors, measures and devices that coaches can use to plan and design their training sessions in a more personalised manner. This study can serve as a foundation for future research that aims to identify and target the various factors that influence the learning and training of sports.

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A Study on VR Training of Baseball Athletes

Kincaid

Gong

Jia

et al. 2021

Design, User Experience, and Usability: Design for Contemporary Technological Environments

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VR-based Batter Training System with Motion Sensing and Performance Visualization

Cited by 16 publications

References 4 publications

Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Beyond hard workout: A multimodal framework for personalised running training with immersive technologies

A Study on VR Training of Baseball Athletes

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