Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning

Contribution of global and local biological motion information to speed perception and discrimination

(2018) Hiroshi Ueda et al.   JOURNAL OF VISION

Time series classification with feature covariance matrices

(2017) Hamza Ergezer et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Combining visual and acoustic features for music genre classification

(2016) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

“It Don’t Mean a Thing if It Ain’t Got that Swing”– an Alternative Concept for Understanding the Evolution of Dance and Music in Human Beings

(2016) Joachim Richter et al.   Frontiers in Human Neuroscience

Conscientiousness and Extraversion relate to responsiveness to tempo in dance

(2016) Emily Carlson et al.   HUMAN MOVEMENT SCIENCE

Exploring Sound-Motion Similarity in Musical Experience

(2016) Rolf Inge Godøy et al.   JOURNAL OF NEW MUSIC RESEARCH

Effects of instructed timing and tempo on snare drum sound in drum kit performance

(2015) Anne Danielsen et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

TLR signalling augments macrophage bactericidal activity through mitochondrial ROS

(2011) A. Phillip West et al.   NATURE

Self-recognition in the Perception of Actions Performed in Synchrony with Music

(2009) Vassilis Sevdalis et al.   Annals of the New York Academy of Sciences

Simultaneous estimation of effects of gender, age and walking speed on kinematic gait data

(2009) Jo Røislien et al.   GAIT & POSTURE

A survey on vision-based human action recognition

(2009) Ronald Poppe   IMAGE AND VISION COMPUTING

Embodiment of Sadness and Depression—Gait Patterns Associated With Dysphoric Mood

(2009) Johannes Michalak et al.   PSYCHOSOMATIC MEDICINE

Pedestrian Detection via Classification on Riemannian Manifolds

(2008) O. Tuzel et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Social Tagging and Music Information Retrieval

(2008) Paul Lamere   JOURNAL OF NEW MUSIC RESEARCH

How potential users of music search and retrieval systems describe the semantic quality of music

(2008) Micheline Lesaffre et al.   JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY