Evaluation of 3D animated human model from 3D scanner and motion capture to be used in electromagnetic simulator for body-centric system

Swaisaenyakorn, Srijittra; Kelly, Stephen W.; Young, Paul R.; Batchelor, John C.

doi:10.1109/bmei.2012.6513037

Cited by 3 publications

(9 citation statements)

References 5 publications

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“…This paper presents a study of on-body channels during walking and comparison is made with other investigations, [1][2][3][4][5][6][7][8][9][10]. In [1][2][3][4] BAN studies were based on measurements on humans while [5] relied solely on EM simulations on a phantom.…”

Section: Introductionmentioning

confidence: 99%

“…BAN channel variation during walking has been studied for a single model in [1], [2], [4][5][6][7][8] and for a population of models in [3], [9], [10]. While [9] showed that a population with similar height had comparable forward transmission (S 21 ) levels for a given walking stance, differences between individuals were not negligible and could be up to 10dB.…”

Section: Introductionmentioning

confidence: 99%

“…The uncertainties of retrospectively matching a virtual phantom to human stances was first considered by the authors in [9] by creating an avatar closely representing the human under test and actual antenna positions were obtained by motion capture allowing accurate models to be included on the avatar.…”

Section: Introductionmentioning

confidence: 99%

“…In [6] attempts were made to address this problem by having the human imitate the walking stances of the Poser model. Also, knowing the exact locations and orientations of antennas in relation to the body surface is important and Motion Capture was used in [8] & by the authors in [9] to track the locations and orientations of antennas while [10] Manuscript received October 25, 2013. This work was supported by ESPRC under Grant EP/G055890/1.…”

Section: Introductionmentioning

confidence: 99%

“…In [1][2][3][4] BAN studies were based on measurements on humans while [5] relied solely on EM simulations on a phantom. [6][7][8][9][10] included both measurement and simulation and [5][6][7][8] utilized proprietary numerical human phantoms and the animation package 'Poser' where physical stances were digitally posed and compared to video frames from the measurement.…”

Section: Introductionmentioning

confidence: 99%

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A Study of Factors Affecting Wrist Channel Characteristics for Walking Postures Using Motion Capture

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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A Study of Factors Affecting Wrist Channel Characteristics for Walking Postures Using Motion Capture

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Investigation of a Switchable Textile Communication System on the Human Body

et al. 2014

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In this paper, a switchable textile communication system working at 2.45 GHz ISM band is presented and studied for different locations within a realistic on-body environment. A 3D laser scanner is used to generate a numerical phantom of the measured subject to improve the accuracy of the simulations which are carried out for different body postures. For the off-body communications, the system is acting as an aperture coupled microstrip patch antenna with a boresight gain of 1.48 dBi. On-body communication is achieved by using a textile stripline, which gives approximately 5 dB transmission loss over 600 mm distance. The system is switched between on and off-body modes by PIN diodes. Common issues, such as shape distortion and body detuning effects which the textile antenna may experience in realistic use are fully discussed. Robust antenna performance is noted in the on-body tests, and an additional 3 dB transmission coefficient deduction was noticed in the most severe shape distortion case.Electronics 2014, 3 492 IntroductionRecently, the textile antenna has attracted much attention as wearable electronics and smart clothes are becoming a popular topic in industry and academia. The idea of wearing an antenna on body can free the antenna system from the miniaturized wearable devices, and consequently enhance the wireless communication performance by fully utilizing the human body surface. Using new flexible materials, such as conductive textiles, can significantly reduce the antenna weight and seamlessly integrate the wearable antenna into clothes [1,2]. The antenna made of flexible materials needs to be optimized to remain satisfied performance under shape distortion conditions. In [3][4][5], wearable antennas were tested and discussed under bending and crumpling conditions. A statistical technique was also introduced to analyze the uncertainty of textile antenna resonance frequency after bending [6]. In realistic usage, textile antennas may need to be waterproofed when exposed to adverse environmental conditions as moisture can significantly affect the antenna performance [7,8].Body area networks involve two wireless communication scenarios. These are on-body communication, which refers to communication between nodes located in different parts of the human body, and off-body communication where signals are transmitted between the on-body node and the nodes far away from body such as wireless routers. The wearable antennas therefore need to be characterized for on and off body applications [1]. The antennas designed for off-body mode are for communications between the node mounted on body and the wireless router or base station at a distance from the wearer. Therefore, the antenna has to radiate mainly in the boresight direction. In [4,5,[9][10][11][12], different types of wearable antennas were presented for off-body applications. Artificial magnetic conductors (AMCs) were used to enhance the antenna forward radiation and reduce the detuning effect from the human body. Some wearable antennas designed for on-bod...

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Research on the Efficiency of Working Status Based on Wearable Devices in Different Light Environments

et al. 2022

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According to the working scenes, a proper light environment can enable people to maintain greater attention and meditation. A posture detection system in different working scenes is proposed in this paper, and different lighting conditions are provided for changes in body posture. This aims to stimulate the nervous system and improve work efficiency. A brainwave acquisition system was used to capture the participants’ optimal attention and meditation. The posture data are collected by ten miniature inertial measurement units (IMUs). The gradient descent method is used for information fusion and updating the participant’s attitude after sensor calibration. Compared with the optical capture system, the reliability of the system is verified, and the correlation coefficient of both joint angles is as high as 0.9983. A human rigid body model is designed for reconstructing the human posture. Five classical machine learning algorithms, including logistic regression, support vector machine (SVM), decision tree, random forest, and k-nearest neighbor (KNN), are used as classification algorithms to recognize different postures based on joint angles series. The results show that SVM and random forest achieve satisfactory classification effects. The effectiveness of the proposed method is demonstrated in the designed systematic experiment.

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Evaluation of 3D animated human model from 3D scanner and motion capture to be used in electromagnetic simulator for body-centric system

Cited by 3 publications

References 5 publications

A Study of Factors Affecting Wrist Channel Characteristics for Walking Postures Using Motion Capture

A Study of Factors Affecting Wrist Channel Characteristics for Walking Postures Using Motion Capture

Investigation of a Switchable Textile Communication System on the Human Body

Research on the Efficiency of Working Status Based on Wearable Devices in Different Light Environments

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