Classifying Indian Classical Dances By Motion Posture Patterns

Dance is a classic form of human motion which is usually performed as a reaction of expression to music. The Indian classical dances, for instance, require multiple complicated movements that relates to body motion postures and hand gestures with high similarities. Past studies showed interests using various methods to classify dances. The most common method used is the Hidden Markov Models (HMM), apart from using the correlation matrix method and hierarchical cluster analysis. Nevertheless, less effort has been placed in analysing the Indian dance by using the data mining approach. Therefore, the objectives in this work are to (i) distinguish different types of Indian classical dances, (ii) classify the type of dance based on motion posture patterns and (iii) determine the effects of attributes on the classification accuracy. This study involves five types of Indian classical dances (Kathak, Bharatanatyam, Kuchipudi, Manipuri and Odissi) motion postures. The data mining approaches were used to classify the motion posture patterns by type of dances. A total of 15 dance videos were collected from the public available domain for body joints tracking processes using the Kinovea software. Data mining analysis was performed in three stages: data pre�processing, data classification and knowledge discovery using the WEKA software. RandomForest algorithm returned the highest classification accuracy (99.2616%). On attribute configuration, y-coordinates of left wrist (LW(y)) was identified as the most significant attribute to differentiate the Indian classical dance classes

A Data-driven, Piecewise Linear Approach to Modeling Human Motions

Motion capture, or mocap, is a prevalent technique for capturing and analyzing human articulations. Nowadays, mocap data are becoming one of the primary sources of realistic human motions for computer animation as well as education, training, sports medicine, video games, and special effects in movies. As more and more applications rely on high-quality mocap data and huge amounts of mocap data become available, there are imperative needs for more effective and robust motion capture techniques, better ways of organizing motion databases, as well as more efficient methods to compress motion sequences. I propose a data-driven, segment-based, piecewise linear modeling approach to exploit the redundancy and local linearity exhibited by human motions and describe human motions with a small number of parameters. This approach models human motions with a collection of low-dimensional local linear models. I first segment motion sequences into subsequences, i.e. motion segments, of simple behaviors. Motion segments of similar behaviors are then grouped together and modeled with a unique local linear model. I demonstrate this approach's utility in four challenging driving problems: estimating human motions from a reduced marker set; missing marker estimation; motion retrieval; and motion compression

Breaking à Montréal : ethnographie d'une danse de rue hip hop

La présente recherche est une étude ethnographique d'une danse de rue hip-hop appelée «breaking» (communément appelée «breakdance») à Montréal dans ses divers contextes et occurrences. En particulier, elle vise à déterminer les changements esthétiques et socio-culturels qui se manifestent lorsque le contexte social ou vernaculaire du «breaking» est reconfiguré en oeuvre de danse contemporaine. Un examen historique de la forme de danse encadre l'exploration du «breaking» dans quatre contextes précis: le «freestyle cypher,» le «battle» organisé, la mise en vedette «freestyle» et le spectacle de danse contemporaine. Le transfert ou le glissement de contexte de la danse se décline en plusieurs niveaux: les participants (qui), l'esthétique et la forme (quoi), le lieu (où), la relation au temps (quand) et la raison d'être (pourquoi). Ces cinq catégories d'examen sont empruntées de la Theory and Methods for an Anthropological Study of Dance de l'anthropologue de danse américaine Joann Kealiinohomoku. La compréhension du transfert de la danse en divers contextes est inspirée par des modèles théoriques d'études en danses folkloriques. Le «freestyle cypher» reflète le contexte original participatif de la danse folklorique, souvent désignée comme première manifestation de danse. Les contextes subséquents suivent approximativement les trois principes de théâtralisation adaptés par le folkloriste canadien Andrij Nahachewsky lui-même inspiré du folkloriste ukrainien Kim Vasylenko. Selon ces principes, différents niveaux ou approches d'adaptation de la danse folklorique au théâtre sont appliqués à la danse d'origine. Le dernier principe rejoint l'approche de chorégraphes en danse contemporaine qui fusionnent le vocabulaire et l'esthétique du «breakdance» avec ceux de la danse contemporaine et du ballet. Ce processus est démontré dans une recherche sur le travail de deux compagnies de danse montréalaises, Rubberbandance Group sous la direction de Victor Quijada et Solid State Breakdance Collective sous la direction d'un groupe de chorégraphes-interprètes féminines. Les ramifications socio-culturelles d'un tel transfert sont complexes, surtout dans le milieu des arts de la scène. Le glissement, notamment d'un art populaire ou d'une danse vernaculaire, au «High Art» sous-tend une reconnaissance et un soutien institutionnels. Les divisions de la reconnaissance et le soutien se font souvent selon les ethnies. Néanmoins, les formes de danse non-occidentales réussissent, depuis quelques années, à infiltrer la danse contemporaine. Le «breaking», bien qu'elle soit une forme de danse née en Occident, illustre cela. Elle a été créée par de jeunes noirs et hispanophones du Bronx, un quartier défavorisé de New York, avant d'être largement assimilée par de jeunes Canadiens d'origines ethniques semblables, aussi issus de milieux défavorisés. Le travail de Rubberbandance Groupe et celui de Solid State Breakdance Collective questionnent les hiérarchies et se jouent des catégories. ______________________________________________________________________________ MOTS-CLÉS DE L’AUTEUR : Breaking (b-boying/b-girling), Danse vernaculaire Africaine Américaine, Danse contemporaine, Danse de représentation, Danse de participation, Appropriation, Hip hop

Biomechanical Analysis of Ballroom Dancing

Ballroom dance has become increasingly more popular in competition, recreation, and rehabilitation settings. However, little is known about its movement pattern from the biomechanical perspective. This knowledge gap could impede the development of approaches for improving dance performance and the successful implementation of ballroom dance into rehabilitation programs. It is also unknown whether the biomechanics of ballroom dance differ between genders given gender-related anatomical differences. The overall goal of this study was to gain a better understanding of the movement patterns associated with ballroom dance movements. Two specific aims were explored in this project: 1) to quantify the kinetics, kinematics and muscle activity for five rhythm ballroom dance elements in professional ballroom dancers compared to recreational and inexperienced ballroom dancers, and 2) to compare the ballroom dance biomechanics between men and women within the three levels of participants. A total of 56 healthy individuals aged 18 to 42 were recruited for this study. Participants performed five rhythm ballroom dance elements – forward/backward step, side step, rock step, triple step, and a spot turn – both with and without a partner, followed by maximal voluntary isometric contractions at the ankle, knee, and hip. Lower extremity kinetics, kinematics, and muscle activity were collected using a nine-camera VICON motion capture system, two embedded AMTI force plates, and 10 Delsys Trigno wireless EMG sensors. Results from the primary variables illustrated greater external forces and decreased joint power in the inexperienced dance level compared to the more experienced levels, as well as greater joint power for males compared to females. This study expands our understanding of the biomechanical characteristics associated with ballroom dance, and provides a reference for developing approaches to improve dance performance, and improve mobility among various populations

Online, Supervised and Unsupervised Action Localization in Videos

Action recognition classifies a given video among a set of action labels, whereas action localization determines the location of an action in addition to its class. The overall aim of this dissertation is action localization. Many of the existing action localization approaches exhaustively search (spatially and temporally) for an action in a video. However, as the search space increases with high resolution and longer duration videos, it becomes impractical to use such sliding window techniques. The first part of this dissertation presents an efficient approach for localizing actions by learning contextual relations between different video regions in training. In testing, we use the context information to estimate the probability of each supervoxel belonging to the foreground action and use Conditional Random Field (CRF) to localize actions. In the above method and typical approaches to this problem, localization is performed in an offline manner where all the video frames are processed together. This prevents timely localization and prediction of actions/interactions - an important consideration for many tasks including surveillance and human-machine interaction. Therefore, in the second part of this dissertation we propose an online approach to the challenging problem of localization and prediction of actions/interactions in videos. In this approach, we use human poses and superpixels in each frame to train discriminative appearance models and perform online prediction of actions/interactions with Structural SVM. Above two approaches rely on human supervision in the form of assigning action class labels to videos and annotating actor bounding boxes in each frame of training videos. Therefore, in the third part of this dissertation we address the problem of unsupervised action localization. Given unlabeled videos without annotations, this approach aims at: 1) Discovering action classes using a discriminative clustering approach, and 2) Localizing actions using a variant of Knapsack problem

New Trends in Neuromechanics and Motor Rehabilitation

Neuromechanics has been used to identify optimal rehabilitation protocols that successfully improve motor deficits in various populations, such as elderly people and individuals with neurological diseases (e.g., stroke, Parkinson’s disease, and essential tremor). By investigating structural and functional changes in the central and peripheral nervous systems based on neuromechanical theories and findings, we can expand our knowledge regarding underlying neurophysiological mechanisms and specific motor impairment patterns before and after therapies to further develop new training programs (e.g., non-invasive brain stimulation). Thus, the aim of this Special Issue is to present the main contributions of researchers and rehabilitation specialists in biomechanics, motor control, neurophysiology, neuroscience, and rehabilitation science. The current collection provides new neuromechanical approaches addressing theoretical, methodological, and practical topics for facilitating motor recovery progress

Proceedings of the 11th International Conference on Kinanthropology

The 11th International Conference on Kinantropology was held on the Nov 29 – Dec 1, 2017 in Brno and was organized by the Faculty of Sports Studies, Masaryk University and the Faculty of Kinesiology, University of Zagreb. This year was divided into several themes: sports medicine, sport and social science, sport training, healthy lifestyle and healthy ageing, sports management, analysis of human movement. Part of the conference was also a symposium Atletika and Ortoreha that gathered specialists in physiotherapy

State of the art of audio- and video based solutions for AAL

Working Group 3. Audio- and Video-based AAL ApplicationsIt is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals (e.g., speech recordings). Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary 4 debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed.publishedVersio

Proceedings of the II International Meeting in Exercise Physiology

Proceedings of the II International Meeting in Exercise Physiology. Meeting held May 5-7, 2011. This meeting was promoted by the Exercise Physiology Laboratory / UFSCar, in collaboration with UNICAMP and UNIMEP universities. The event was designed to bring Brazilian scientists, especially from São Paulo state that work with Exercise Physiology and Health. The main objective was to put together these students and scientists interested in developing joint researches in this area