Dance Data Cognition And Multimodal Communication


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Dance Data, Cognition and Multimodal Communication


Dance Data, Cognition and Multimodal Communication

Author: Taylor & Francis Group

language: en

Publisher: Routledge Advances in Theatre & Performance Studies

Release Date: 2022-03-18


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This book is the result of a collaborative and transdisciplinary effort towards a first definition of dance data, with its complexities and contradictions, in a time where cognitive science is growing in parallel to the need of a renewed awareness of the body's agency in our manyfold interactions with the world.

Dance Data, Cognition, and Multimodal Communication


Dance Data, Cognition, and Multimodal Communication

Author: Carla Fernandes

language: en

Publisher: Taylor & Francis

Release Date: 2022-09-08


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Dance Data, Cognition, and Multimodal Communication is the result of a collaborative and transdisciplinary effort towards a first definition of "dance data", with its complexities and contradictions, in a time where cognitive science is growing in parallel to the need of a renewed awareness of the body’s agency in our manyfold interactions with the world. It is a reflection on the observation of bodily movements in artistic settings, and one that views human social interactions, multimodal communication, and cognitive processes through a different lens—that of the close collaboration between performing artists, designers, and scholars. This collection focuses simultaneously on methods and technologies for creating, documenting, or representing dance data. The editors highlight works focusing on the dancers’ embodied minds, including research using neural, cognitive, behavioural, and linguistic data in the context of dance composition processes. Each chapter deals with dance data from an interdisciplinary perspective, presenting theoretical and methodological discussions emerging from empirical studies, as well as more experimental ones. The book, which includes digital Support Material on the volume's Routledge website, will be of great interest to students and scholars in contemporary dance, neuro-cognitive science, intangible cultural heritage, performing arts, cognitive linguistics, embodiment, design, new media, and creativity studies.

Artificial Intelligence and Machine Learning in Sports Science


Artificial Intelligence and Machine Learning in Sports Science

Author: Daniel Memmert

language: en

Publisher: Springer Nature

Release Date: 2025-08-22


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This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports practice. In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science. An outlook also addresses ethical issues concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research.