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[Special Effectslimb

Description: 反向动力学模型,可用于跟踪计算人体上肢各参数。-IK model, can be used to track human body upper arm.
Platform: | Size: 32768 | Author: tuzhiguo | Hits:

[matlabwalker

Description: WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?- WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?
Platform: | Size: 2048 | Author: moon | Hits:

[matlabwalker

Description: 人生路模拟人体结构 实现性别辨别,研究肌肉 速度 肩宽 对速度的影响-matlab WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?
Platform: | Size: 2048 | Author: 张洋 | Hits:

[Special Effectstracker-synopsis

Description: We release here software for human upper body detection in still images. This release is a more portable and better performing replacement for the detector in [3]. It is based on the successful part-based object detection framework [4].
Platform: | Size: 808960 | Author: BOUROR | Hits:

[matlabwalker

Description: WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender.- Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?
Platform: | Size: 6144 | Author: 牛牛 | Hits:

[matlabwalker

Description: 模拟人的步行,是一个很好的模拟程序- WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?
Platform: | Size: 10240 | Author: 王静 | Hits:

[LabViewThe-pulse-measurement

Description: 基于Labview的人体脉搏测量系统。Upper machine pulse of human body measurement system。-Upper machine pulse of human body measurement system。
Platform: | Size: 12288 | Author: 双翼 | Hits:

[Goverment applicationterm-paper

Description: In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.-In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.
Platform: | Size: 556032 | Author: anurag | Hits:

[Other systemsgait_cycle

Description: This code is able to find the gait period of a person. I used casia for this. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. -This code is able to find the gait period of a person. I used casia for this. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance.
Platform: | Size: 90112 | Author: anurag | Hits:

[Other systemsgait_energy_image

Description: This code is able to find the gait energy image of a person. I used casia for this. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. -This code is able to find the gait energy image of a person. I used casia for this. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance.
Platform: | Size: 86016 | Author: anurag | Hits:

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