scholarly journals Synchronization of Dance Motion Data Acquisition using Motion Capture

2019 ◽  
Vol 9 (2) ◽  
pp. 3639-3642
Keyword(s):  
Motion Capture ◽  
Advanced Technology ◽  
Kinect Sensor ◽  
Depth Sensor ◽  
Body Frame ◽  
Dance Movement ◽  
Modern Culture ◽  
Motion Data ◽  
Depth Sensors ◽  
Dance Movements

Dance is a body activity that unites body movements, art and certain meanings. Dance performances are sometimes only performed at certain times, so that it is not well known by the public, especially young people today, especially classical dance. They are more interested in presenting a more modern culture because of the development of the times and more advanced technology. The lack of public knowledge about current dance moves has encouraged researchers to conduct motion capture research for dance movements using the Kinect sensor. This paper proposes a technique called mechanical motion capture to capture the motion of objects, namely the dance movement Golek Menak which is one of the classical dances in Indonesia. The proposed Kinect motion capture technique requires special input devices such as cameras with the ability to capture motion up to 2000 frames per second. Kinect has the facility of RGB camera and depth sensor (depth sensor). Kinect's advantages over other tools that can capture and track the movements or actions of threedimensional (3D) objects (humans and animals) accurately, without marking under certain lighting conditions by utilizing depth sensors. The results showed that the Kinect sensor was able to perform motion capture (MOCAP) techniques in dance movements accurately to produce the right body frame with the movement of dance props which subsequently developed the results in various fields, one of which was the development of motion characters for animation. The results of the synchronization of dance motion data and the capture of motion with motion capture then in this study were developed in the animation of dance movements

scholarly journals Dance motion capture and composition using multiple RGB and depth sensors

2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769608 ◽  
Author(s):  
Yejin Kim
Keyword(s):  
Motion Capture ◽  
High Speed ◽  
Motion Path ◽  
High Complexity ◽  
Motion Data ◽  
Depth Sensors ◽  
Motion Editing ◽  
Human Movements ◽  
Marker Free ◽  
Motion Search

Dynamic human movements such as dance are difficult to capture without using external markers due to the high complexity of a dancer’s body. This article introduces a marker-free motion capture and composition system for dance motion that uses multiple RGB and depth sensors. Our motion capture system utilizes a set of high-speed RGB and depth sensors to generate skeletal motion data from an expert dancer. During the motion acquisition process, a skeleton tracking method based on a particle filter is provided to estimate the motion parameters for each frame from a sequence of color images and depth features retrieved from the sensors. The expert motion data become archived in a database. The authoring methods in our composition system automate most of the motion editing processes for general users by providing an online motion search with an input posture and then performing motion synthesis on an arbitrary motion path. Using the proposed system, we demonstrate that various dance performances can be composed in an intuitive and efficient way on client devices such as tablets and kiosk PCs.

Biomechanical Analysis of Typical Upper Limb Movements Based on Kinect-LifeMOD

2014 ◽  
Vol 599-601 ◽  
pp. 534-538 ◽  
Author(s):  
Ming Zeng ◽  
Chang Wei Chen ◽  
Qing Hao Meng ◽  
Hong Lin Ren ◽  
Shu Gen Ma
Keyword(s):  
Motion Capture ◽  
Upper Limb ◽  
Microsoft Kinect ◽  
Biomechanical Analysis ◽  
Combination Method ◽  
Depth Sensor ◽  
Motion Data ◽  
Position Data ◽  
Upper Limb Movements ◽  
Precision Motion

In traditional biomechanical analysis of upper limb, the high-precision motion data and lifelike human models are needed. It is obvious that those processes are costly and time-consuming. In this paper, a novel and simple combination method based on Kinect-LifeMOD is proposed. Firstly, the Microsoft Kinect (a latest depth sensor) is used to build a cheap and precise motion capture platform. Real-time and reliable key-node rotation data of human skeletons can be acquired by this motion capture system. Next, rotation data is converted into position data as the input of the LifeMOD software which can establish mathematical model of upper limb and execute biomechanical analysis automatically. The experimental results show that the proposed method could achieve the satisfactory performance.

Correlational Methods for Analysis of Dance Movements

2011 ◽  
Vol 29 (supplement) ◽  
pp. 283-304 ◽  
Author(s):  
Timothy R. Brick ◽  
Steven M. Boker
Keyword(s):  
Motion Capture ◽  
Mirror Symmetry ◽  
Cross Correlation ◽  
The Other ◽  
Free Form ◽  
Motion Capture Data ◽  
Complex Interactions ◽  
Dance Movements ◽  
Time Lagged ◽  
Insight Into

Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify. This paper presents three methods – Generalized Local Linear Approximation, Time-lagged Autocorrelation, and Windowed Cross-correlation – for the exploration of symmetry and synchrony in motion-capture data as is it applied to dance and illustrate these with examples from a study of free-form dance. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

Movement Analysis of Philippine Folk Dance Itik-itik

2019 ◽  
Vol 2 (1) ◽  
pp. 56-63
Author(s):  
Pangilinan Math C ◽  
Fontanilla Lyndo V ◽  
Pineda Israel C ◽  
Rocelle E Agtang ◽  
Soriano Ria M ◽  
...  
Keyword(s):  
Movement Analysis ◽  
Adductor Muscle ◽  
Mechanical Analysis ◽  
Muscle Group ◽  
Upper Body ◽  
Folk Dance ◽  
Dance Movement ◽  
Dance Teacher ◽  
Hip Muscle ◽  
Dance Movements

The purpose of the study was to describe and analyze the dance movements of the Philippine folk dance Itik-itik. The researchers adopted the movement analysis method similar to that of Mackenzie that involves the (1) description of the actual movements which occur at the joints involved; (2) the plane in which the movement occurs; and (3) the muscles producing the movement (agonist & antagonist). In addition, similar to the study of Martin and Miller, the researchers also had done a mechanical analysis on the lever type involved in the execution of the dance movement in terms of force, axis, and resistance. Results revealed that the prominent dance steps in the Philippine local dance Itik-itik are the (1) running, (2) cross step, slide close, slide close step, (3) heel, close-ball, close arm, (4) step, slide-close, slide, (5) arms extension/flexion, and (6) flapping of the arms. The joints involved are the shoulder and hip muscle which are ball and socket type of joints; and elbow, knee and ankle which are hinge joints. The major muscles involved in the dance for the lower body include the quadriceps, hamstring muscle group, adductor muscle group, calves and gluts. While for the upper body muscles involved are the pectoralis major, latissimus dorsi, deltoid, trapezius, biceps, and triceps muscles. The type of lever used in performing the dance comprise majority of 1st class and 3rd class levers. By knowing the muscles involved in the dance the dance teacher may be able to devise activities to gradually prepare the prime mover muscles before the actual execution for injury prevention. Thus, the movements in the dance may improve the health and skill related fitness of the performers.

Delivering Balinese Dance to the Digital Era: Multimedia-Enriched Dictionary

2020 ◽  
Vol 49 (2) ◽  
pp. 59-65
Author(s):  
I. Nengah Suandi ◽  
I. Made Bandem ◽  
I. Wayan Mudana ◽  
Ni Luh Partami ◽  
Kadek Yota Ernanda Aryanto
Keyword(s):  
Advanced Technology ◽  
Intangible Cultural Heritage ◽  
Current Development ◽  
User Survey ◽  
Early Step ◽  
Dance Movement ◽  
Cultural Wealth ◽  
Digital Era ◽  
Further Development ◽  
Multimedia Features

AbstractBalinese dance is the intangible cultural heritage which has become one of the main tourism draws in Indonesia, and worldwide that offers various cultural wealth with its unique qualities. It has strong characteristics, shown through the movements, music, and costumes. The richness of Balinese dance has attracted people, both scholars and tourists, to learn it. Unfortunately, it also presents a challenge for people who have just begun to learn it, due to their unfamiliarity with its terms taken from the local Balinese language. An Android-based application aimed at remedying this problem has been developed and has been evaluated for its main features and functionality. Several suggestions from initial users have been obtained and utilized for further development of the dictionary. By maintaining the multimedia features, the dictionary has become not only a reference for terms but also a practical reference for the dance movement itself. The results of the user survey suggested that further development using advanced technology could deliver more appealing experiences in learning Balinese dance. Furthermore, most of the respondents stated that the current development is appropriate as an early step in the efforts to preserve the record of Balinese dance.

scholarly journals BLAINDER—A Blender AI Add-On for Generation of Semantically Labeled Depth-Sensing Data

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2144
Author(s):  
Stefan Reitmann ◽  
Lorenzo Neumann ◽  
Bernhard Jung
Keyword(s):  
Point Clouds ◽  
Training Data ◽  
Sensor Data ◽  
Generation Process ◽  
Data Generation ◽  
Depth Sensor ◽  
Depth Sensing ◽  
Depth Sensors ◽  
3D Point Clouds ◽  
Wide Range

Common Machine-Learning (ML) approaches for scene classification require a large amount of training data. However, for classification of depth sensor data, in contrast to image data, relatively few databases are publicly available and manual generation of semantically labeled 3D point clouds is an even more time-consuming task. To simplify the training data generation process for a wide range of domains, we have developed the BLAINDER add-on package for the open-source 3D modeling software Blender, which enables a largely automated generation of semantically annotated point-cloud data in virtual 3D environments. In this paper, we focus on classical depth-sensing techniques Light Detection and Ranging (LiDAR) and Sound Navigation and Ranging (Sonar). Within the BLAINDER add-on, different depth sensors can be loaded from presets, customized sensors can be implemented and different environmental conditions (e.g., influence of rain, dust) can be simulated. The semantically labeled data can be exported to various 2D and 3D formats and are thus optimized for different ML applications and visualizations. In addition, semantically labeled images can be exported using the rendering functionalities of Blender.

scholarly journals Designing Science and Technology Park of Tabriz with Organic Architecture Approach, Inspired by Ants' Nest Algorithm

2016 ◽  
Vol 11 (1) ◽  
pp. 134
Author(s):  
Zahra Ghannadian ◽  
Shahriyar Shaghagh
Keyword(s):  
Science And Technology ◽  
Point Of View ◽  
Advanced Technology ◽  
Modern Culture ◽  
Science And Technology Parks ◽  
Technology Park ◽  
Technology Parks ◽  
Science And Technology Park ◽  
Organic Architecture ◽  
High Level

Establishment of every urban element in its appropriate position requires advanced technology and science from geographical and climatic point of view. This is accompanied and synchronous with modern culture born by supreme and high level of training and education in the society. In this regard, one of the main objectives of the architectures' union is to establish science and Technology Park with the aim of facilitating and accelerating science and technology transmission from university to the society and country.Tabriz city is considered as one of the most important academic and industrial cities in the country. Establishing science and technology parks can be effective in scientific, economic and social development of the country and province. Employing organic methods in architecture to use natural energies is an effective and useful method and its structure produces less pollution. Using philosophical and introductory issues and views of technology and establishing technology parks, present article proceeds on issues of organic architecture with new approach which is inspired by ants' nest algorithm and presents a new experience of architecture in the form of Science and Technology Park.

scholarly journals Gap Reconstruction in Optical Motion Capture Sequences Using Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6115
Author(s):  
Przemysław Skurowski ◽  
Magdalena Pawlyta
Keyword(s):  
Neural Networks ◽  
Motion Capture ◽  
Matrix Completion ◽  
Input Sequence ◽  
Feedforward Neural Networks ◽  
Network Architectures ◽  
Motion Data ◽  
Optical Motion ◽  
Body Kinematic ◽  
Optical Motion Capture

Optical motion capture is a mature contemporary technique for the acquisition of motion data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps might occur in such recordings. The article reviews various neural network architectures applied to the gap-filling problem in motion capture sequences within the FBM framework providing a representation of body kinematic structure. The results are compared with interpolation and matrix completion methods. We found out that, for longer sequences, simple linear feedforward neural networks can outperform the other, sophisticated architectures, but these outcomes might be affected by the small amount of data availabe for training. We were also able to identify that the acceleration and monotonicity of input sequence are the parameters that have a notable impact on the obtained results.

scholarly journals Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1261 ◽  
Author(s):  
Dohyung Kim ◽  
Dong-Hyeon Kim ◽  
Keun-Chang Kwak
Keyword(s):  
Kinect Sensor ◽  
Dance Movements

scholarly journals Graph Cut-Based Human Body Segmentation in Color Images Using Skeleton Information from the Depth Sensor

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 393 ◽  
Author(s):  
Jonha Lee ◽  
Dong-Wook Kim ◽  
Chee Won ◽  
Seung-Won Jung
Keyword(s):  
Human Body ◽  
Color Image ◽  
Depth Image ◽  
Body Region ◽  
Reasonable Accuracy ◽  
Depth Sensor ◽  
Complicated Shape ◽  
Depth Sensors ◽  
Body Segmentation ◽  
Human Body Segmentation

Segmentation of human bodies in images is useful for a variety of applications, including background substitution, human activity recognition, security, and video surveillance applications. However, human body segmentation has been a challenging problem, due to the complicated shape and motion of a non-rigid human body. Meanwhile, depth sensors with advanced pattern recognition algorithms provide human body skeletons in real time with reasonable accuracy. In this study, we propose an algorithm that projects the human body skeleton from a depth image to a color image, where the human body region is segmented in the color image by using the projected skeleton as a segmentation cue. Experimental results using the Kinect sensor demonstrate that the proposed method provides high quality segmentation results and outperforms the conventional methods.

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