22 papers · ranked by Valyu relevance
Ulysses Bernardet, Sarah Fdili Alaoui, Karen Studd, Karen Bradley + 3 more
'Philippe Pasquier' 'Thecla Schiphorst' 'Emily S. Cross'] The Laban Movement Analysis system (LMA) is a widely used system for the description of human movement. Here we present results of an empirical analysis of the reliability of the LMA system. Firstly, we developed a directed graph-based representation for the…
Rachelle Palnick Tsachor, Tal Shafir
There is significant clinical evidence showing that creative and expressive movement processes involved in dance/movement therapy (DMT) enhance psycho-social well-being. Yet, because movement is a complex phenomenon, statistically validating which aspects of movement change during interventions or lead to significant…
Giulia Perugia, Roos van Berkel, Marta Díaz-Boladeras, Andreu Català-Mallofré + 2 more
'Andreu Català-Mallofré' 'Matthias Rauterberg' 'Emilia Barakova'] Engagement in activities is of crucial importance for people with dementia. State of the art assessment techniques rely exclusively on behavior observation to measure engagement in dementia. These techniques are either too general to grasp how engagement…
Mary C. Broughton, Jane W. Davidson
Musicians' expressive bodily movements can influence observers' perception of performance. Furthermore, individual differences in observers' music and motor expertise can shape how they perceive and respond to music performance. However, few studies have investigated the bodily movements that different observers of…
Mary C. Broughton, Jane W. Davidson
Self-reflective performance review and expert evaluation are features of Western music performance practice. While music is usually the focus, visual information provided by performing musicians’ expressive bodily behaviors communicates expressiveness to musically trained and untrained observers. Yet, within a…
Takafumi Matsumaru, Abolfazl Zaraki, Hamed Rahimi Nohooji
The purpose of this paper is to introduce and discuss the following two functions that are considered to be important in human-coexistence robots and human-symbiotic robots: the method of generating emotional movements, and the method of transmitting behavioral intentions. The generation of emotional movements is to…
Muhammad Turab, Philippe Colantoni, Damien Muselet, Alain Tremeau
> Abstract. The growing interest in automated movement analysis has presented new challenges in recognition of complex human activities including dance. This study focuses on dance style recognition using features extracted using Laban Movement Analysis. Previous studies for dance style recognition often focus on…
Mathilde Papillon, M. Pettee, Nina Miolane
> Abstract. Using Artificial Intelligence (AI) to create dance choreography is still at an early stage. Methods that conditionally generate dance sequences remain limited in their ability to follow choreographer-specific creative direction, often relying on external prompts or supervised learning. In the same vein…
Muhammad Turab, Philippe Colantoni, Damien Muselet, Alain Tremeau
> Abstract. This paper presents a novel framework for emotion recognition in contemporary dance by improving existing Laban Movement Analysis (LMA) feature descriptors and introducing robust, novel descriptors that capture both quantitative and qualitative aspects of the movement. Our approach extracts expressive…
Jesus G. Cruz-Garza, Zachery R. Hernandez, Sargoon Nepaul, Karen K. Bradley + 1 more
'Karen K. Bradley' 'Jose L. Contreras-Vidal'] Although efforts to characterize human movement through electroencephalography (EEG) have revealed neural activities unique to limb control that can be used to infer movement kinematics, it is still unknown the extent to which EEG can be used to discern the expressive…
Kwaku Opoku-Ware, Gideon Opoku
This paper presents a preliminary investigation into automated dance movement analysis using contemporary computer vision techniques. We propose a proof-of-concept framework that integrates YOLOv8 and v11 for dancer detection with the Segment Anything Model (SAM) for precise segmentation, enabling the tracking and…
Rollyn T. Labuguen, Wally Enrico M. Ingco, Salvador Blanco Negrete, Tonan Kogami + 1 more
The evaluation of markerless pose estimation performed by OpenPose has been getting much attention from researchers of human movement studies. This work aims to evaluate and compare the output joint positions estimated by the OpenPose with a marker-based motion-capture data recorded on a pop dance motion. Although the…
Varun Badrinath Krishna
Inertial Measurement Unit (IMU) sensors are being increasingly used to detect human gestures and movements. Using a single IMU sensor, whole body movement recognition remains a hard problem because movements may not be adequately captured by the sensor. In this paper, we present a whole body movement detection study…
Ran Dong, Dongsheng Cai, Nobuyoshi Asai
Human motions (especially dance motions) are very noisy, and it is hard to analyze and edit the motions. To resolve this problem, we propose a new method to decompose and modify the motions using the Hilbert-Huang transform (HHT). First, HHT decomposes a chromatic signal into "monochromatic" signals that are the…
Emahnuel Troisi Lopez, Pierpaolo Sorrentino, Marianna Liparoti, Roberta Minino + 3 more
Effective human movement requires the coordinated participation of the whole musculoskeletal system. Here we propose to represent the human body movements as a network (that we named “kinectome”), where nodes are body parts, and edges are defined as the correlations of the accelerations between each pair of body parts…
Filip Potempski, Andrea Sabo, Kara K Patterson
Dance interventions are more effective at improving gait and balance outcomes than other rehabilitation interventions. Repeated training may culminate in superior motor performance compared to other interventions without synchronization. This technical note will describe a novel method using a deep learning-based 2D…
Emahnuel Troisi Lopez, Roberta Minino, Mario De Luca, Francesco Tafuri + 3 more
automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific, characteristics that would enhance generalization and adaptability. Previous studies on motion…
Avi Barliya, Nili Krausz, Hila Naaman, Enrico Chiovetto + 2 more
The inverse kinematics problem deals with the question of how the nervous system coordinates movement to resolve redundancy, such as in the case of arm reaching movements where more degrees of freedom are available at the joint versus hand level. In particular, this work focuses on determining which coordinate frames…
Abel Torres-Espin, Amanda Bernstein, Marwa Soliman, Juan Sebastián Jara + 2 more
Rodent models are widely used to study neurological conditions and assess forelimb movement to measure function performance, deficit, recovery and treatment effectiveness. Traditional assessment methods based on endpoints such as whether the task is accomplished, while easy to implement, provide limited information on…
Justin Eilertsen, Wylie Stroberg, Santiago Schnell
The determination of a substrate or enzyme activity by coupling of one enzymatic reaction with another easily detectable (indicator) reaction is a common practice in the biochemical sciences. Usually, the kinetics of enzyme reactions is simplified with singular perturbation analysis to derive rate or time course…
Radu A. Talmazan, Jakob Gamper, Ivan Castillo, Thomas S. Hofer + 1 more
Supramolecular transition metal catalysts with tailored reaction environments allow for the usage of abundant 3d metals as catalytic centres, leading to more sustainable chemical processes. However, such catalysts are large and flexible systems with intricate interactions, resulting in complex reaction coordinates. To…
Justin Eilertsen, Wylie Stroberg, Santiago Schnell
The determination of a substrate or enzyme activity by coupling of one enzymatic reaction with another easily detectable (indicator) reaction is a common practice in the biochemical sciences. Usually, the kinetics of enzyme reactions is simplified with singular perturbation analysis to derive rate or time course…