Objective: Both simulation and experimental studies show that human walking is a passive biped walking mode adapting to the gravity environment of the earth, and its energy consumption rate is much lower than that of ...
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Recently, the pharmaceutical manufacturing is going through a transition from classic batch manufacturing to continuous manufacturing, that is a faster as well as a more effective approach. The presented work establis...
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Hand Gesture presents a gesture-controlled virtual mouse system that uses computer vision and hand-tracking techniques to provide advanced user interactions with a computer. This is done by tracking the user's han...
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The article presents an approach to automating the processes of controlling the parameters of floating docks at the local and remote level. The hierarchical functional structure and hardware and software of the remote...
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The significance of age recognition from faces in various domains, including minor security and online shopping, has drawn potential attention. It still faces a number of difficulties, though, particularly in an unres...
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ISBN:
(纸本)9798350351491;9798350351484
The significance of age recognition from faces in various domains, including minor security and online shopping, has drawn potential attention. It still faces a number of difficulties, though, particularly in an unrestricted setting, including anti-aging therapies, lighting circumstances, and filter effects. Advancements in computer vision offer promising avenues for more precise age prediction, particularly in facial analysis. However, challenges persist, including the need for robust datasets, standardized protocols, especially in computational approaches and generalization model's. This work provides an overview of the three methodologies employed in age estimation. The performance of their approach is evaluated by confusion matrix. The first test, which uses three datasets separately, can demonstrate that using just one dataset is insufficient to produce a high-quality confusion matrix. The second test overcome this problem by combine data from various sources, apply data augmentation technique and perform early stopping to achieve an excellent confusion matrix for age recognition. Obtained results validate the proposed approach.
Aiming at the low efficiency of gesture interaction in the command and control system, this paper proposes a gesture interaction optimization method based on gesture complexity. Ten joint points are selected to model ...
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This paper presents a lightweight laser targeting system with a hybrid differential algorithm for accurate and real-time targeting. The system captures target images via a camera and applies a combination of inter-fra...
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With the rise of cloud computing, many users outsource their data to be stored in cloud servers, enjoying the convenience while facing many security issues. In the field of secure multiparty computing, traditional pri...
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ISBN:
(纸本)9798350349184;9798350349191
With the rise of cloud computing, many users outsource their data to be stored in cloud servers, enjoying the convenience while facing many security issues. In the field of secure multiparty computing, traditional privacy set intersection protocol data users use cloud servers for their data outsourcing to operate for calculating the intersection, the data is susceptible to tampering by the cloud servers, and the data users do not formulate fine-grained access control policies. To solve the above problems, this paper combines blockchain with privacy set intersection for the first time, and proposes a blockchain-based privacy set intersection protocol with attribute access control. This scheme utilizes blockchain instead of a cloud server as a trusted third party, data users utilize smart contracts to compute intersection via OPRF, and attribute encryption is used to provide access control for privacy set intersection protocol. Thus, it solves the risk of data vulnerability to tampering. This paper analyzes the security of the scheme and conducts simulation experiments.
This paper introduces a framework for analyzing cerebral palsy (CP) gait using a markerless 3D computer vision system equipped with two RGB cameras. The system employs advanced pose estimation algorithms and machine l...
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ISBN:
(纸本)9798350373981;9798350373974
This paper introduces a framework for analyzing cerebral palsy (CP) gait using a markerless 3D computer vision system equipped with two RGB cameras. The system employs advanced pose estimation algorithms and machine learning techniques to analyze gait dynamics. Although limited by the model's simplicity at certain joints-particularly the pelvis, which is represented by just two points-the system integrates the four most clinically relevant out of 11 measured kinematic variables. The system excels in capturing large joint angles like knee flexion/extension but faces challenges with smaller angles such as hip abduction/adduction due to the limitations of single-point representation. Comprehensive gait metrics, including cadence and walking speed, are derived by projecting foot movements onto the floor plane, providing valuable insights into gait mechanics. This research simplifies the technology required for precise gait analysis and enhances its accessibility in clinical settings, offering significant advancements in the diagnosis and treatment of movement disorders.
作者：
Manjunatha, A.S.Venkatramana Bhat, P.
Department of Computer and Communication Engineering India
Department of Computer Science and Engineering India
Data is collected and forwarded to the cluster head by sensor nodes in the Wireless Sensor Network (WSN). Ensuring the confidentiality and integrity of the data that must be provided to the base station is tough. We r...
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