Study on Augmented Context Interaction System for Virtual Reality Animation Using Wearable Technology

Kang, Jiyoung; Lim, Jongkuk

doi:10.5121/csit.2018.80705

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…The study found that the use of AR significantly improved student understanding of physically‐based rendering concepts. Moreover, Reference 57 presented a novel interaction method for VR animations. They created “.FLY,” a VR movie, using wearable technology and designed augmented context interactions to verify the emotional empathy and emotional immersion effect of the active story‐based interactions experienced by the user in a VR environment.…”

Section: Impact Of New Technologies On Animationmentioning

confidence: 99%

Evolution and innovations in animation: A comprehensive review and future directions

Wang,

Zhong

2023

Concurrency and Computation

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SummaryIn this article, we offer an in‐depth exploration of the history, advancements, and innovations in the field of animation. From the roots of traditional hand‐drawn animation to the contemporary realm of computer‐generated imagery, the article outlines the progression of techniques and technologies that have revolutionized the industry. This study meticulously examines the transformative impact of emerging trends such as virtual reality, augmented reality, and artificial intelligence on the development and application of animation. A significant focus is placed on the societal implications of animation, investigating its pervasive influence in fields as diverse as education, advertising, and entertainment. The use of animation as a pedagogical tool, a marketing strategy, and a medium for storytelling has not only redefined these sectors but has also reshaped audience expectations and experiences. In forecasting the future of animation, the article identifies and analyzes potential technologies and trends poised to push the boundaries of the field. This includes examining challenges such as the ethical considerations of AI and the technical constraints of VR and AR. By providing a comprehensive overview of past developments and future possibilities, this review contributes to the ongoing discourse on the continually evolving landscape of animation.

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Section: Impact Of New Technologies On Animationmentioning

confidence: 99%

Evolution and innovations in animation: A comprehensive review and future directions

Wang,

Zhong

2023

Concurrency and Computation

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Research on the Human Motion Recognition Method Based on Wearable

Wang,

Jin,

Huang

et al. 2024

Biosensors

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The accurate analysis of human dynamic behavior is very important for overcoming the limitations of movement diversity and behavioral adaptability. In this paper, a wearable device-based human dynamic behavior recognition method is proposed. The method collects acceleration and angular velocity data through a six-axis sensor to identify information containing specific behavior characteristics in a time series. A human movement data acquisition platform, the DMP attitude solution algorithm, and the threshold algorithm are used for processing. In this experiment, ten volunteers wore wearable sensors on their bilateral forearms, upper arms, thighs, calves, and waist, and movement data for standing, walking, and jumping were collected in school corridors and laboratory environments to verify the effectiveness of this wearable human movement recognition method. The results show that the recognition accuracy for standing, walking, and jumping reaches 98.33%, 96.67%, and 94.60%, respectively, and the average recognition rate is 96.53%. Compared with similar methods, this method not only improves the recognition accuracy but also simplifies the recognition algorithm and effectively saves computing resources. This research is expected to provide a new perspective for the recognition of human dynamic behavior and promote the wider application of wearable technology in the field of daily living assistance and health management.

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Study on Augmented Context Interaction System for Virtual Reality Animation Using Wearable Technology

Cited by 2 publications

References 13 publications

Evolution and innovations in animation: A comprehensive review and future directions

Evolution and innovations in animation: A comprehensive review and future directions

Research on the Human Motion Recognition Method Based on Wearable

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