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Iranian Conference on electrical engineering (ICEE)

作者： Arsalan Amralizadeh Trifa Marjani Mehdi Tale Masouleh Ahmad Kalhor Human & Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran Human & Robot Interaction Laboratory University of Tehran Tehran Iran

ISBN: (数字)9781728172965

ISBN: (纸本)9781728172972

Plantar pressure measurement plays an important role in gait analysis which is a multidisciplinary field of study in medicine, rehabilitation, sports and robotics. The design and fabrication procedure of a novel pressure-sensitive shoe insole instrument is described in this study. The usage of this instrument is in sensing and real-time monitoring of the force pattern applied to the foot during gait. This system consists of a flexible circuit board with ten soft force sensing elements mounted on it, a custom data pre-process unit, a wireless transmission unit and a software for data monitoring. The soft force sensing components are designed based on barometer sensors covered by silicone layer in a specified shape to obtain about 300N supportable force range applied on each element. In order to evaluate the reliability and effectiveness of the proposed system, a healthy subject executed some preliminary tests during both static and dynamic activities. Conforming to the primitive results, the insole platform presented a rapid and accurate response in measurement of reaction force during different experimental attitudes. Thereupon, the fabricated insole is comfortable to wear, lightweight enough to use in daily activities simultaneously and it is a feasible instrument for plantar pressure mapping. Moreover, variety of parameters could be obtained by processes on the collected data and be used in related studies such as activity recognition or gait disorder detection.

关键词： Sensors Force Tactile sensors Foot Data visualization Software Monitoring

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A General Geometric Index for Solving the Forward Kinematics of Planar Parallel Manipulators

A General Geometric Index for Solving the Forward Kinematics...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Amir Hashemi Dastjerdi Maryam Valipour Mehdi Tale Masouleh School of Mechanical Engineering University of Shahid Rajaee Teacher Training University (SRTTU) Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory University of Tehran Tehran Iran

ISBN: (纸本)9781665420952

In this paper, a new geometrical method is proposed to solve the forward kinematics of planar parallel manipulators exhibiting two translational and one rotational DOF which leads to high-order system polynomial expressions. The main idea has arisen from a geometrical interpretation of the intersection among the vertex space of each kinematic chain. From the type synthesis performed for planar parallel manipulators with identical kinematic structure, it has been revealed that the number of every possible configuration for this type of manipulators is eighteen, which the solution of the forward kinematic problem can be expressed using a univariate polynomial expression. However, among these eighteen configuration only six of them lead to high order polynomials and therefore do not have closedform solutions. The proposed method in this paper is based on an index representing the intersection of the circles which are extracted from the vertex space of each kinematic limb of the manipulator. In this approach, the orientation angle of the moving platform is selected from an interval; and based on the selected orientation angle, the circles obtained from the vertex space of each limb are determined. The forward kinematic solution happens where all the circles intersect at one common point where this geometrical phenomenon is expressed using the proposed index. In order to illustrate the performance of the proposed approach, three examples are solved. It should be noted that the foregoing method succeeded even in solving examples such as manipulators with six real solutions, manipulators with degenerate answers, which are reported in the literature as special cases.

关键词： Mechatronics Kinematics Manipulators Classification algorithms Indexes

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Real-Time Imitation of human Head Motions, Blinks and Emotions by Nao robot: A Closed-Loop Approach

arXiv

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arXiv 2025年

作者： Rayati, Keyhan Feizi, Amirhossein Beigy, Alireza Shahverdi, Pourya Masouleh, Mehdi Tale Kalhor, Ahmad Louie, Wing-Yue Geoffrey Human and Robot Interaction Lab Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical Engineering Shahrood University of Technology Shahrood Iran Intelligent Robotics Laboratory Oakland University Michigan United States

—This paper introduces a novel approach for enabling real-time imitation of human head motion by a Nao robot, with a primary focus on elevating human-robot interactions. By using the robust capabilities of the MediaPipe as a computer vision library and the DeepFace as an emotion recognition library, this research endeavors to capture the subtleties of human head motion, including blink actions and emotional expressions, and seamlessly incorporate these indicators into the robot’s responses. The result is a comprehensive framework which facilitates precise head imitation within human-robot interactions, utilizing a closed-loop approach that involves gathering real-time feedback from the robot’s imitation performance. This feedback loop ensures a high degree of accuracy in modeling head motion, as evidenced by an impressive R2 score of 96.3 for pitch and 98.9 for yaw. Notably, the proposed approach holds promise in improving communication for children with autism, offering them a valuable tool for more effective interaction. In essence, proposed work explores the integration of real-time head imitation and real-time emotion recognition to enhance human-robot interactions, with potential benefits for individuals with unique communication needs. © 2025, CC BY-NC-ND.

关键词： Anthropomorphic robots

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A Hand Motion Recognition System Combining Wearable Sensing Gloves and Template Matching Algorithm

A Hand Motion Recognition System Combining Wearable Sensing ...

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IEEE International Conference on Mechatronics and Automation

作者： Dapeng Wang Yupeng Fu Bo Yang Teng Liu Chuizhou Meng Shijie Guo State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology P. R. China Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology Hebei University of Technology P. R. China Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction Hebei University of Technology P. R. China School of Mechanical Engineering Hebei University of Technology P. R. China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Hand motion recognition systems, especially those these using wearable electronic glove, have received growing attention in the field of human-computer interaction and medical rehabilitation. However, two problems still exist: (1) the sensors are usually single, which fails to acquire the multi-sensor information; and (2) Pattern recognition based on deep learning algorithms tend to require a large number of samples to ensure pattern recognition accuracy, whereas obtaining a large amount of hand movement information from a patient is difficult. To address the above problems, this study develops a hand motion recognition system through combining a wearable sensing glove and a new template matching algorithm. The wearable sensing glove employs five Flex sensors and one Inertial Measurement Unit (IMU) to obtain the gesture information, followed by realization of the human-computer interaction through the Unity3D software. Meanwhile, a simple template matching algorithm is constructed for the hand gesture recognition, which can recognize 10 numbers and 20 letters in American Sign Language (ASL) with an accuracy of 90.11% and 87.13%, respectively. The proposed hand motion recognition system can basically meet the needs of patients for hand movement recognition.

关键词： human computer interaction Wrist Sign language Accuracy Software algorithms Software Sensors

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Corrigendum to "DSTF: A diversified spatio-temporal feature extraction model for traffic flow prediction" [Neurocomputing 621 (2025) 129280] (Neurocomputing (2025) 621, (S0925231224020514), (10.1016/***.2024.129280))

引用

Neurocomputing 2025年 638卷

作者： Wang, Xing Wang, Xiaojun Huang, Faliang Zou, Fumin Liao, Lyuchao Zeng, Ruihao Fujian Normal University College of Computer and Cyber Security China Fujian Normal University Digital Fujian Institute of Big Data Security Technology China Nanning Normal University Guangxi Key Lab of Human-machine Interaction and Intelligent Decision China Fujian University of Technology Fujian Key Laboratory of Automotive Electronic and Electrical Drive Technology China The University of Sydney School of Civil Engineering Sydney Australia

The authors regret to inform that: (1) During the resubmission stage of the revised manuscript, in compliance with reviewers' recommendations to show standard deviations in the experimental results (In Section 5. Experiment implementation), a batch replacement operation (intended to replace "+" with "±" for data formatting) inadvertently replaced the "+" symbols in the mathematical formulas and the explanatory text with "±" symbols (In Section 3. Problem statement and Section 4. Methodology). (2) In proof stage, we sincerely apologize for failing to identify this issue during the final proofreading stage. Correction statement and details: As this error may affect readers' understanding, we request a corrigendum to rectify this error. In Section 3. Problem statement and Section 4. Methodology, all instances of "±" symbols within mathematical formulas and their explanatory text should be reverted to the original "+" symbols. The authors would like to apologize for any inconvenience caused. © 2025 The Authors

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Kinematic Analysis of an Under-constrained Cable-driven robot Using Neural Networks

Kinematic Analysis of an Under-constrained Cable-driven Robo...

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Iranian Conference on electrical engineering (ICEE)

作者： Soroush Zare Morteza Shahamiri Haghighi Mohammad Reza Hairi Yazdi Ahmad Kalhor Mehdi Tale Masouleh School of Mechanical Engineering Human and Robot Interaction Laboratory University of Tehran Tehran Iran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran

ISBN: (数字)9781728172965

ISBN: (纸本)9781728172972

In this paper, three types of neural networks including, multilayer perceptron, radial basis function, and Local Linear Model Trees, are considered based on adaptability with the significant behavior of data to solve the forward and inverse kinematics of the under-constrained cable-driven parallel robot. The practical workspace of the robot is a rectangular cube with dimensions of 360cm × 220c× 160cm. Forward kinematics problem of the under-constrained cable-driven parallel robot is challenging to solve by reason of complexity and nonlinearity of the robot kinematic equations. The typical approach utilizes a numerical method to solve these equations, which are computationally expensive and very time-consuming. Resorting to the neural network approaches results in the feasible orientation, which confirms that all the cables are in tension. The trained neural network gives a feasible inverse kinematic problem solution and the running time of the optimal trained neural network in the control loop, obtained about 12 microseconds, pales in comparison to the sampling time of the control loop that facilitates the real-time control of the robot. Obtained results reveal that the multilayer perceptron has the mean average error order of about 2 millimeters for the position and 0.78 degrees for orientation, which makes a case for precise control in the high-speed motion of the robot.

关键词： Artificial neural networks robots Mathematical model Parallel robots Neural networks Kinematics Global Positioning System

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Reconstructing 3-D Graphical Model Using an Under-Constrained Cable-Driven Parallel robot

Reconstructing 3-D Graphical Model Using an Under-Constraine...

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International Conference of Signal Processing and Intelligent Systems (ICSPIS)

作者： Soroush Zare Mohammad Ghanatian Mohammad Reza Hairi Yazdi Mehdi Tale Masouleh School of Mechanical Engineering Human and Robot Interaction Laboratory University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory University of Tehran Tehran Iran

ISBN: (数字)9781728186290

ISBN: (纸本)9781728186306

In this paper, a novel application of an under-constrained cable-driven parallel robot is introduced. By this application, the 3D model of any object with any size limited to the workspace of the robot can be reconstructed, which is a definite asset for creating the 3D model in such an easy and cost-efficient way despite other methods like a laser scanner. The most significant problem of an under-constrained cable-driven robot is the orientations of the end-effector which cannot be controlled regardless of its position, i.e., the orientation and position of the end-effector are not independent. In this paper, the foregoing problem was solved by using a stabilizer to capture a video in prescribed orientations. The results demonstrate that the end-effector can be controlled with high precision by a PID controller to reconstruct the 3D model of an object based on the captured videos of a camera which is mounted on the end-effector of the robot. In this paper, the object is a social robot called Sanbot that has a shiny surface, which decreases the 3D model reconstruction precision. However, the results reveal that the 3D model of the Sanbot robot has a very clear view, and the experimental results confirm the efficiency of the proposed method. This method provides an easy way to reconstruct the 3D model of an object which cannot be reconstructed by other methods.

关键词： Solid modeling Parallel robots Three-dimensional displays robot vision systems Cameras End effectors Sports

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A Laser-Scribed Wearable Strain Sensing System Powered by an Integrated Rechargeable Thin-Film Zinc-Air Battery for a Long-Time Continuous Healthcare Monitoring

SSRN

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SSRN 2022年

作者： Chen, Xue Hou, Zhanrui Li, Guoxian Yu, Wei Xue, Ye Niu, Guangyu Xin, Mingyang Yang, Li Meng, Chuizhou Guo, Shijie State Key Laboratory of Reliability and Intelligence of Electrical Equipment Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province School of Electrical Engineering Hebei University of Technology Tianjin300130 China State Key Laboratory for Reliability and Intelligence of Electrical Equipment Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction School of Mechanical Engineering Hebei University of Technology Tianjin300401 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin300130 China Department of Architecture and Art Hebei University of Technology Tianjin300130 China

Wearable sensors with long cruising times without the need for an external wire-connected power supply are urgently required for a continuous physiological signal monitoring. Herein, we report the design and fabrication of a wearable all-in-one sensing system that integrates a sensitive strain sensor and a rechargeable zinc-air battery on the same laser-induced graphene (LIG) platform. The sensing electrode of the strain sensor, the catalytic air electrode of the zinc-air battery and the interconnection lines between the two are simultaneously fabricated through the same laser-scribing process on polyimide (PI) followed by pattern transfer to a flexible and stretchable polydimethylsiloxane (PDMS) substrate. In the sensor, the conductive porous LIG exhibits a high gauge factor (~27028.1), a wide detection range (~40%) and a well cyclic loading-unloading stability (>20000 cycles). In the zinc-air battery, Co3O4 nanoparticles are in-situ laser-sintered on LIG to form an excellent electrode/electrolyte/air three-phased interfacing structure for a high catalytic performance, and a moisturized tetraethyl ammonium hydroxide (TEAOH)-KOH/polyvinyl alcohol (PVA) gel electrolyte tightly binds the Co3O4 /LIG air electrode and zinc foil electrode together into an integrate thin-film energy device, which provides a high open-circuit voltage (~1.39 V) and a high specific capacity (712 mAh g-1 at 0.2 mA cm-2 ). For a proof-of-concept, an intelligent wristband based on the sensing system was fabricated and worn on the wearer’s wrist for a long-time continuous pulse monitoring of up to 10 h. The health state of the wearer can be depicted upon the acquired pulse waveforms. The developed LIG-based sensing system with a high internal powering capability will be promising in wearable sensing applications. © 2022, The Authors. All rights reserved.

关键词： Graphene

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Design and Evaluation of Adaptive and Sliding Mode Control for a 3-DOF Delta Parallel robot

Design and Evaluation of Adaptive and Sliding Mode Control f...

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Iranian Conference on electrical engineering (ICEE)

作者： Faraz Abed Azad Saeed Rahimi Mohammad Reza Hairi Yazdi Mehdi Tale Masouleh Human and Robot Interaction Laboratory School of Mechanical Engineering University of Tehran Tehran Iran School of Mechanical Engineering College of Engineering University of Tehran Tehran Iran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (数字)9781728172965

ISBN: (纸本)9781728172972

In this paper, simulation, kinematics analysis, and control of a 3-DOF Delta parallel robot have been investigated. Delta parallel robots are one of the most popular manipulators for industrial applications. The kinematic equations of the robot have been established by the screw theory, in which, the position and velocity analyses have been carried out. In SimScape simulation environment, the kinematic model of the robot has been verified and subsequently, an inverse kinematic model was adopted for control purposes. In order to improve the tracking ability of the robot, three important control approaches, consisting in PID, adaptive control, and a Sliding Mode Control (SMC) have been implemented. Afterwards, the effectiveness of each approach has been investigated by employing the root mean square error (RMSE) index. By comparing the obtained index values, the SMC demonstrates the best performance with the RMSE value of 0.4188 in comparison to other methods. Simulation results were illustrated to show the ability of the controllers to reject white noise disturbance added to the system's input signals.

关键词： robots Kinematics Mathematical model Service robots Fasteners Actuators Parallel robots

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A Droplet-Based Multivolume Microfluidic Device for Digital Polymerase Chain Reaction

SSRN

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SSRN 2022年

作者： Wei, Chunyang Yu, Chengzhuang Li, Shanshan Meng, Jiyu Li, Tiejun Cheng, Jingmeng Li, Junwei Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions School of Mechanical Engineering Hebei University of Technology Tianjin300132 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300130 China Institute of Biophysics School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin300401 China Department of Computer Science and Electrical Engineering Hebei University of Technology Langfang065000 China

Digital PCR plays an essential role in detecting and quantifying nucleic acid targets, while there are still challenges, including reduction of cost, simplification of operations, and system miniaturization. This work proposes a droplet-based multivolume microfluidic device for easy-to-operate and integrated droplet digital PCR (ddPCR). With an elaborate " asymmetrical droplet-splitting" microstructure, we have successfully prepared a small droplet population ( n = 1.5k, Φ = 59.1 ± 2.2 μm) and a large droplet population ( n = 1.5k, Φ = 106.3 ± 3.9 μm) in the same chip for realizing multivolume design, by which the ddPCR chip achieves a dynamic range of over 10^4 for DNA molecule quantification. The chip integrates droplet generation, droplet array self-assembly, droplet dPCR, and fluorescence detection on a single device. The quantitative capability of the ddPCR chip was evaluated by measuring template DNA at concentrations from 20 to 12500 copies/μL. Benefiting from the characteristics of wide dynamic range, easy operation, and miniaturization, our ddPCR device is expected to be used in the applications involving DNA molecule quantification, including diagnosis of genetic disease, single-cell gene expression, and point of care field. © 2022, The Authors. All rights reserved.

关键词： Drops

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