Semi-Real Evaluation, and Adaptive Control of a 6DOF Surgical Robot

Tajdari, Farzam; Toulkani, Naeim Ebrahimi; Zhilakzadeh, Nima

doi:10.1109/pedstc49159.2020.9088405

Cited by 16 publications

(11 citation statements)

References 17 publications

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“…Ac T Ac on the nonlinear cost function. From Khalil [52], [53], for any system, if E(X) > 0 and ∂E ∂t ≤ 0, the system is globally stable [54], [55] (in our formulation, the number of intervals are equal to the effect of time in [52], i.e. t = k).…”

Section: E Linearise E Cmentioning

confidence: 99%

Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

Tajdari

Huysmans

Yang

et al. 2022

IEEE Trans. on Image Process.

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Section: E Linearise E Cmentioning

confidence: 99%

Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

Tajdari

Huysmans

Yang

et al. 2022

IEEE Trans. on Image Process.

Self Cite

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“…The structural path modelling (variance approach) and the structural equation modelling (covariance approach) are two main ways of analysing and assessing complex data structures [27,28,29,30,31,32]. The main characteristic of these two methods is assessing and analysing different dependant and independent variables concurrently [33,34,35,36]. Many factors were observed to assess the type of the research, such as the data of the 400 questionnaires, multipliers, determining the variance of the dependant variable and the indirect effect of all variables on each other.…”

Section: Assessing Findings Reliability and Justification Of The Rese...mentioning

confidence: 99%

The Relationship between Consuming Fashion and Self-Confidence on the Buying Behaviour in the Clothing Market as a Mediator

Zam¹,

Tavakoli²,

Ramezanian³

et al. 2022

Preprint

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As a mediator variable, self-confidence is one of the most effective elements of the decision-making process of consumer behaviour. This research has studied the effects of different aspects of consuming fashion on the self-confidence and behaviour of consumers in Tehran’s clothing market. This study has considered the acceptance of new products, interest in mode and fashion, utilitarianism, and personal taste in its analysis. This research aims to understand the fashion buying behaviour amongst Iranian consumers in consideration of their attitude towards self-confidence and aspects of fashion consumption. The statistic sample is 400 consumers from Tehran’s clothing market who have been chosen based on the random availability procedure. The primary tool in this research was a questionary used to testify the assumptions and a model fit created by using structural equations and factor analysis. This research showed that the interest in mode and fashion, personal taste, utilitarianism, and new products positively impact self-confidence. In addition, the positive impact of self-confidence on fashion buying behaviour was confirmed.

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“…The concept of body measurement started with using measurement tape, which was time-consuming and required considerable effort [5]. Advancement in technology introduces the 3D scanning tool-kits [6][7][8][9][10][11], which improves the effectiveness and efficiency of measuring the body shapes [12,13]. However, the 3D body measuring techniques [14,15] and scanners only allowed the collecting data in static postures, e.g., hand posture in [16,17].…”

Section: Introductionmentioning

confidence: 99%

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Tajdari

Kwa

Christiaan³

et al. 2022

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

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Fitting apparel and apparel in performing different activities is essential for the functional yet comfortable experience of the user. 4D scans, i.e. 3D scans in continuous timestamps, of the body (part) in performing those activities are the basis for the design of garments/apparel in 4D. In this paper, we proposed a semi-automatic workflow for constructing 4D scans of the body parts with the emphasis on registering noisy scans at a given timestamp. Continuous 3D scans regarding the moving body parts are captured first from different depth cameras from different view angles. In a given timestamp, the collected 3D scans are roughly aligned to a template using the rigid Iterative Closest Points (ICP) algorithm. Then these scans are further registered using a newly proposed non-rigid Iterative Closest-Farthest Points (ICFP) algorithm, in which correspondences between the source and the target are established by either closest or farthest points based on the newly defined logical distance concept and the probability theory. Experimental results indicated that the ICFP method is robust against noise and the scanning accuracy can be as high as 3.4 %. It also reveals that, for the human foot, the differences of ball width and ball angles between the loaded and the unloaded situation can be as large as 8 mm and 2 degrees, respectively. This highlights the importance of using 4D scan in designing garments and apparel.

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Semi-Real Evaluation, and Adaptive Control of a 6DOF Surgical Robot

Cited by 16 publications

References 17 publications

Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

The Relationship between Consuming Fashion and Self-Confidence on the Buying Behaviour in the Clothing Market as a Mediator

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

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