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Hans T. Zeiner-Henriksen, Alexander Refsum Jensenius, Kristian Nymoen, Mari Romarheim Haugen, David Buverud, Ruby Topping, and Victor Gonzalez

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is open to everyone. No technical knowledge of music or dance is required. You can use the hashtag #FLmusicmoves to talk about this course on social media.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is open to everyone. No technical knowledge of music or dance is required. You can use the hashtag #FLmusicmoves to talk about this course on social media.

Topics Covered

  • A historical overview
  • Perception and cognition of music
  • Functional action-sound categories
  • Multimodality
  • Pulse and Entrainment
  • Groove
  • Gestures and Coarticulation
  • Bodily Metaphors
  • Motion Capture
  • Video Analysis
  • Bio Sensors

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Reviews summary

Exploring music's connection to movement

According to learners, this course offers a fascinating and accessible exploration of the intricate relationship between music and bodily movement. Many found the content insightful and engaging, particularly appreciating how it connects diverse fields like psychology, history, and technology. It's described as an excellent introduction for those with no prior background in either music or dance, making complex ideas understandable. While the course provides a broad overview and covers various facets of the topic, some reviewers felt it could benefit from more depth on specific technical or theoretical aspects, especially for learners seeking advanced knowledge. Overall, students report a positive experience, gaining a new perspective on everyday phenomena.
Overall good production value noted.
"The video lectures were well-produced and easy to watch."
"I thought the quality of the instructional videos was quite high."
"Good visuals and audio made the learning experience pleasant."
Explores history, psychology, technology.
"Loved how the course integrated historical perspectives with modern scientific understanding and technology like motion capture."
"The interdisciplinary approach, connecting music perception to psychology and bodily response, was a highlight."
"It was interesting to learn about the different ways researchers study music and movement, from history to bio-sensors."
"Gave me a much broader understanding of the field than I expected, covering everything from 'groove' to 'entrainment'."
Material is captivating and thought-provoking.
"The topics covered were absolutely fascinating! I never thought about music and movement this way before."
"Each week presented new insights that genuinely surprised and delighted me."
"The content was highly engaging, mixing theory with real-world examples and interesting demonstrations."
"I found myself constantly thinking about the course concepts long after the videos ended."
No prior knowledge needed, easy to follow.
"I had no background in music or dance, but this course was incredibly easy to understand and follow along with."
"Perfect for anyone curious about the topic, regardless of their technical background. The explanations are clear."
"Made complex concepts simple and engaging. I never felt lost, even as a complete novice."
"Great starting point if you're new to the science behind music and movement."
Covers many areas, but some wish for more detail.
"While the course covers a lot of ground, I felt some topics were only briefly touched upon and could have gone deeper."
"It's a great introduction, but if you're looking for advanced research or technical detail, this might be too basic."
"Good for getting a general idea, but not sufficient if you need in-depth knowledge for professional application."
"I appreciated the breadth, but sometimes wished for more specialized exploration within certain modules."

Career center

Learners who complete Music Moves: Why Does Music Make You Move? will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 47 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Music Moves: Why Does Music Make You Move?.
This multi-volume history of Western music, written by a team of leading scholars. It is the most comprehensive and authoritative work on the subject, but it is also very expensive and difficult to read.
Provides a comprehensive overview of the field of music and emotion, covering topics such as the history of the field, the different theories of emotion, and the empirical research on the relationship between music and emotion. It is an essential read for anyone interested in this topic.
This set of guidelines provides evidence-based information and recommendations for music therapy practice with various populations, including adults in medical care, individuals with developmental health needs, and those in mental health and pediatric care. These are essential reference tools for practitioners, offering best practice guidelines.
Addresses ethical considerations in music therapy practice. The second edition comprehensive resource for navigating ethical dilemmas and decision-making in the field. It must-read for all music therapy students and professionals to ensure ethical and responsible practice.
Specifically applies deep learning techniques to computer vision problems, including object detection and image segmentation, which are directly applicable to video analysis. It's valuable for understanding how to leverage deep learning frameworks for video tasks.
This collection of essays on a wide range of topics in music history. It is written by a team of leading scholars, and it is an invaluable resource for students of music history.
Offers an overview of music therapy clinical practice in the 21st century, structured around the ways music therapists engage clients in music experiences. It includes numerous case illustrations from clinicians working with diverse populations, making it a practical introduction for those new to the field. It is particularly useful for gaining a broad understanding of how music therapy is applied in real-world settings.
Explores deep learning techniques specifically for computer vision tasks. It covers image classification, object detection, and other relevant areas, providing practical insights into applying deep learning to visual data, including frames from videos.
This handbook key resource for understanding the application of music therapy in neurological rehabilitation. It provides a scientific foundation and clinical applications of Neurologic Music Therapy (NMT). is essential for those interested in the neuroscientific basis of music therapy and its use with neurological populations, suitable for advanced students and professionals.
This collection of essays on a wide range of topics in music history, theory, and performance. It is written by a team of leading scholars and musicians, and it is an invaluable resource for students of music.
This massive anthology of Western music, containing over 1,000 pieces of music from the Middle Ages to the present day. It is an invaluable resource for students of music history, but it is also quite expensive.
Classic work in the field of music and emotion. Meyer argues that music language that can express emotions in a way that is unique to music. He provides a detailed analysis of the musical elements that are used to express emotions, and he offers a theory of how music can evoke emotions in listeners.
Approaches computer vision from a probabilistic modeling and machine learning perspective, which is highly relevant to modern video analysis techniques. It's valuable for deepening understanding by providing a strong theoretical framework. It covers topics essential for building intelligent video analysis systems.
Provides a comprehensive overview of the history of Western music, from its origins in ancient Greece to the present day. It is written in a clear and engaging style, and it is packed with illustrations and examples.
This widely used textbook offers a comprehensive introduction to computer vision, covering fundamental concepts and algorithms relevant to analyzing visual data, including video. It provides a solid theoretical understanding and covers a broad range of topics.
This handbook serves as a go-to resource for music therapy students and professionals, offering an introduction to the profession, guidelines for practice, and descriptions of clinical applications and case studies. It provides a solid foundation for understanding the practical aspects of being a music therapist.
This comprehensive textbook is considered a standard reference for music therapy research. It covers both quantitative and qualitative research methodologies, essential for students and professionals seeking to understand and contribute to the evidence base of music therapy. It is particularly valuable for those pursuing graduate-level studies or engaging in research.
This resource from the AMTA provides information and bibliographies on music therapy interventions with various specific populations, such as those with autism spectrum disorders, mental health needs, and medical conditions. It practical guide for tailoring music therapy approaches to different client groups.
Cornerstone in the fields of pattern recognition and machine learning, offering a comprehensive introduction to the underlying principles that power many video analysis algorithms. It's valuable for building a solid theoretical foundation before diving into specific video analysis applications.
Presents a collection of case studies illustrating music therapy in practice with diverse clients and settings. It offers practical insights into the therapeutic process and various approaches, making it a valuable resource for students and clinicians. It complements theoretical knowledge with real-world examples.
This practical book focuses on using the OpenCV library with Python for computer vision tasks, including those relevant to video analysis like object detection and tracking. It's an excellent resource for gaining hands-on experience and implementing algorithms.
Explores advanced methods in music therapy, including Analytical Music Therapy, The Bonny Method of Guided Imagery and Music, Nordoff-Robbins Music Therapy, and Vocal Psychotherapy. It is suitable for those seeking to deepen their understanding of specific therapeutic approaches and their impact on the profession. This book is more appropriate for graduate students and working professionals interested in specialized training.
This volume offers evidence-based guidelines and clinical insights for applying music therapy with adults in various medical settings. It covers diverse medical conditions and procedures, providing practical guidance for therapists in medical environments.
A foundational text in image processing, this book covers essential concepts and techniques that are prerequisites for video analysis. Topics like image enhancement, restoration, and segmentation are crucial for processing individual frames of a video. While not solely focused on video, it provides the necessary building blocks.
Focuses on the application of music therapy in mental health settings. It covers theoretical bases and clinical interventions for various mental health conditions. It valuable resource for students and professionals interested in working with individuals with mental health needs.
Considered a classic in the field, this book delves into the complex task of defining music therapy. Bruscia examines various definitions and proposes a comprehensive framework, which helps solidify a foundational understanding of the profession's identity and scope. While not a recent publication, its theoretical contributions remain highly relevant for students and scholars.
Explores music therapy from a humanistic and creative perspective, including historical context, theoretical orientations, and case studies across the lifespan. It is considered an accessible introduction, particularly for those interested in creative approaches to music therapy.
Presents recent works in digital signal, image, and video processing with a focus on emerging multimedia technologies. It delves into contemporary topics and applications, including image/video-based deep learning, making it relevant for understanding the latest advancements in video analysis.
Focusing on practical applications using PyTorch, this book would be valuable for those looking to implement video analysis tasks using deep learning frameworks. It provides hands-on examples and guidance for building real-world systems.
Delves into current issues and concepts central to music therapy as a scholarly discipline. It discusses defining the nature of music therapy, its historical context, and what makes it effective. This valuable resource for advanced students and scholars interested in the theoretical and philosophical underpinnings of the field.
Explores the power of music to influence our emotions, thoughts, and actions. Campbell provides a wide range of examples of how music has been used to heal, inspire, and motivate people. He also discusses the neuroscience of music and emotion, and he offers tips for using music to improve our lives.
Personal guide to understanding and enjoying great music. Copland provides a clear and concise overview of the different elements of music, and he offers tips for listening to music in a way that is both enjoyable and educational.
While focused on the geometric aspects of computer vision, this classic text is crucial for understanding 3D reconstruction and camera motion from video sequences. It's highly relevant for advanced video analysis tasks involving scene understanding and spatial relationships.
Explores current approaches, practices, and challenges in music therapy education and training. It focuses on experiential learning, reflective practice, and inclusion, providing insights into the evolving landscape of music therapy training. This is particularly relevant for students and educators, offering a look at contemporary pedagogical themes.
This textbook on the history of Western music, written by a team of leading scholars. It is written in a clear and engaging style, and it is packed with illustrations and examples.
This textbook on the history of Western music, written by a team of leading scholars. It is written in a clear and engaging style, and it is packed with illustrations and examples.
This classic textbook on the history of Western music. It is comprehensive and well-written, and it is still widely used in university courses. However, it is quite long and detailed, and it may be too difficult for some readers.
Explores ethical considerations in music therapy practice from an international perspective. It valuable resource for navigating ethical challenges and promoting responsible conduct in the field, complementing other texts on ethics with a global viewpoint.
Delves into the methods for evaluating computer vision systems, which is crucial for assessing the performance of video analysis algorithms. It provides a comprehensive overview of metrics and how to apply them effectively.
While not strictly a music therapy textbook, this book by a renowned neurologist explores the profound effects of music on the brain through fascinating case studies. It provides valuable insights into the neurological basis of music perception and engagement, which is highly relevant to music therapy. It offers a broader, interdisciplinary perspective.
This concise guide offers a practical overview of the principles and techniques of motion capture, including tips and tricks from experienced practitioners.
Offers a global history of the music therapy profession, highlighting the diversity of concepts and practices since the 1930s. It explores the historical trends in the growth of the profession and the various theoretical and philosophical developments. This book is helpful for understanding the diverse landscape of contemporary music therapy.
While not specific to video analysis, this book is highly relevant for those building and deploying video analysis systems in practice. It covers the engineering aspects of machine learning projects, which are crucial for operationalizing video analysis models.
Provides a historical overview of music therapy from ancient times to the development of the modern profession. It offers valuable context for understanding the roots and evolution of the field, drawing on historical, musicological, and anthropological perspectives. It useful resource for gaining a broader, historical understanding of music's role in healing.
This introductory book is designed for beginners with little to no prior knowledge of motion capture, providing a gentle introduction to the field.

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