Real-time, 3D estimation of human body postures from trinocular images

The development of biomedical devices benefits patients by offering real-time healthcare. In particular, pacemakers have gained a great deal of attention because they offer opportunities for monitoring the patient’s vitals and biological statics in real time. One of the important factors in realizing real-time body-centric sensing is to establish a robust wireless communication link among the medical devices. In this paper, radio transmission and the optimal characteristics for impedance matching the medical telemetry of an implant are investigated. For radio transmission, an integral coupling formula based on 3D vector far-field patterns was firstly applied to compute the antenna coupling between two antennas placed inside and outside of the body. The formula provides the capability for computing the antenna coupling in the near-field and far-field region. In order to include the effects of human implantation, the far-field pattern was characterized taking into account a sphere enclosing an antenna made of human tissue. Furthermore, the characteristics of impedance matching inside the human body were studied by means of inherent wave impedances of electrical and magnetic dipoles. Here, we demonstrate that the implantation of a magnetic dipole is advantageous because it provides similar impedance characteristics to those of the human body.

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A Real-Time Photogrammetric System for Acquisition and Monitoring of Three-Dimensional Human Body Kinematics

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.87.5.363 ◽

2021 ◽

Vol 87 (5) ◽

pp. 363-373

Author(s):

Long Chen ◽

Bo Wu ◽

Yao Zhao ◽

Yuan Li

Keyword(s):

Real Time ◽

Human Body ◽

Graphics Processing Unit ◽

Three Dimensional ◽

Stereo Pair ◽

Processing Unit ◽

Detection Distance ◽

Human Kinematics ◽

Graphics Processing ◽

Time Acquisition

Real-time acquisition and analysis of three-dimensional (3D) human body kinematics are essential in many applications. In this paper, we present a real-time photogrammetric system consisting of a stereo pair of red-green-blue (RGB) cameras. The system incorporates a multi-threaded and graphics processing unit (GPU)-accelerated solution for real-time extraction of 3D human kinematics. A deep learning approach is adopted to automatically extract two-dimensional (2D) human body features, which are then converted to 3D features based on photogrammetric processing, including dense image matching and triangulation. The multi-threading scheme and GPU-acceleration enable real-time acquisition and monitoring of 3D human body kinematics. Experimental analysis verified that the system processing rate reached ∼18 frames per second. The effective detection distance reached 15 m, with a geometric accuracy of better than 1% of the distance within a range of 12 m. The real-time measurement accuracy for human body kinematics ranged from 0.8% to 7.5%. The results suggest that the proposed system is capable of real-time acquisition and monitoring of 3D human kinematics with favorable performance, showing great potential for various applications.

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Recognition of Multiple Human Body Postures Based on Six-axis Sensor

Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) ◽

10.2991/eame-18.2018.50 ◽

2018 ◽

Author(s):

Wei Li ◽

Dongxiu Ou

Keyword(s):

Human Body ◽

Body Postures

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Motor expertise modulates the unconscious processing of human body postures

Experimental Brain Research ◽

10.1007/s00221-011-2788-7 ◽

2011 ◽

Vol 213 (4) ◽

pp. 383-391 ◽

Cited By ~ 23

Author(s):

Iris Güldenpenning ◽

Dirk Koester ◽

Wilfried Kunde ◽

Matthias Weigelt ◽

Thomas Schack

Keyword(s):

Human Body ◽

The Unconscious ◽

Unconscious Processing ◽

Body Postures ◽

Motor Expertise

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Detection of Human Body Motion Based on Electrostatic Measurements in the Indoor Environment

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.480-481.1329 ◽

2011 ◽

Vol 480-481 ◽

pp. 1329-1334

Author(s):

Wei Zheng ◽

Zhan Zhong Cui

Keyword(s):

Theoretical Analysis ◽

Real Time ◽

Human Body ◽

Motion Detection ◽

Average Velocity ◽

Indoor Environment ◽

Detection Method ◽

Body Motion ◽

The Real ◽

Multiple Electrodes

An effective non-contact electrostatic detection method is used for human body motion detection. Theoretical analysis and pratical experiments are carried out to prove that this method is effective in the field of human body monitoring, in which a model for human body induced potential by stepping has been proposed. Furthermore, experiment results also prove that it’s feasible to measure the average velocity and route of human body motion by multiple electrodes array. What’s more the real-time velocity and direction of human body motion can be determined by orthogonal electrostatic detector array, and the real-time velocity and direction of human body motion can be obtained within the range of 2 meters.

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