Pose and motion capture technologies

MATEC Web of Conferences ◽

10.1051/matecconf/202134205004 ◽

2021 ◽

Vol 342 ◽

pp. 05004

Author(s):

Arun Fabian Panaite ◽

Sebastian Rosca ◽

Remus Sibişanu

Keyword(s):

Data Acquisition ◽

Motion Capture ◽

Motion Capture Data ◽

Compression Algorithms ◽

Data Acquisition Systems ◽

Mathematical Formulas ◽

Programming Process

The multitude of sensors, transducers and data acquisition systems used in the ever-increasing domains of today’s industry, were designed and created on a purpose-based agenda. Most of these technologies were rarely used for different purposes then the ones they were meant for. This research, explores the possibility of using those technologies for the purpose of motion capture. The results of the motion capture data acquisition can further be used for other purposes, itself. Because the motion capture data isn’t calculated, but only captured, the compression algorithms may result in mathematical formulas of motion, which can be the same formulas of calculating the motion synthetically. The same way the parameters and formulas are being calculated for a robot’s movement, motion can be captured, and the key position parameters can be selected, and implemented on the movement, while not only making the movement more natural, but saves time during the programming process.

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Integration of Motion Capture Data Acquisition with Multibody Dynamic Simulation Software for Nordic Walking Gait Analysys

Lecture Notes in Mechanical Engineering - Proceedings of the 14th International Scientific Conference: Computer Aided Engineering ◽

10.1007/978-3-030-04975-1_59 ◽

2019 ◽

pp. 510-517 ◽

Cited By ~ 2

Author(s):

A. Muraszkowski ◽

J. Szrek ◽

S. Wudarczyk ◽

J. Bałchanowski ◽

R. Jasiński ◽

...

Keyword(s):

Data Acquisition ◽

Dynamic Simulation ◽

Motion Capture ◽

Simulation Software ◽

Motion Capture Data ◽

Nordic Walking ◽

Walking Gait ◽

Multibody Dynamic

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Correlational Methods for Analysis of Dance Movements

Dance Research ◽

10.3366/drs.2011.0021 ◽

2011 ◽

Vol 29 (supplement) ◽

pp. 283-304 ◽

Cited By ~ 8

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.

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Evaluation of remote hydrologic data-acquisition systems, west-central Florida

10.3133/wri79102 ◽

1980 ◽

Keyword(s):

Data Acquisition ◽

Central Florida ◽

Data Acquisition Systems ◽

West Central ◽

Hydrologic Data

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Towards a Theory of Gesture Form Analysis. Principles of Gesture Conceptualisation, with Empirical Support from Motion-Capture Data

SSRN Electronic Journal ◽

10.2139/ssrn.2484364 ◽

2014 ◽

Author(s):

Julius Hassemer

Keyword(s):

Motion Capture ◽

Empirical Support ◽

Motion Capture Data ◽

Form Analysis

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Using computer clusters for processing spatial-temporal data streams in data acquisition systems

Geodesy and Cartography ◽

10.22389/0016-7126-2018-935-5-54-63 ◽

2018 ◽

Vol 935 (5) ◽

pp. 54-63

Author(s):

A.A. Maiorov ◽

A.V. Materuhin ◽

I.N. Kondaurov

Keyword(s):

Data Acquisition ◽

Data Streams ◽

Spatial Data ◽

High Performance ◽

Temporal Data ◽

Cyberphysical Systems ◽

Software Environment ◽

Computer Clusters ◽

Data Acquisition Systems ◽

Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

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