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Gesture-Driven LEGO robots

Abstract

In this short survey and case study we want to present our research experience through the project developed by our team, that involves the building of a LEGO MINDSTORMS EV3 robotic arm and tracked robot car which mimics the motion of the human arm and legs. We used 3 interconnected LEGO MINDSTORMS EV3 bricks to reach the desired degrees of freedom. Using a Kinect sensor, the system detects the motion of the human user’s arm and creates the skeletal image of the arm. Coordinate geometry and different approximation methods are used to calculate the rotation angles between the bones connecting the joints. In our project the key is inverse kinematics, whitch makes use of the kinematics equations to determine the joint rotation parameters that provide a desired position for each of the robot’s end-effectors – arms and legs (wheels). The combined motion of the LEGO MINDSTORMS EV3 motors results in a complete robotic forward or backward motion and arm movement which is a perfect mimic of the human arm movement.

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Methods and Practices for Institutional Benchmarking based on Research Impact and Competitiveness: A Case Study of ShanghaiTech University

, Alzheimer disease, skeletal muscle). The main co-occurring (linked) keywords of each cluster indicate the main research topics in each theme. Figure 2 Maps of keywords of molecular biology & genetics of Univ E (left) and ShanghaiTech (right); mapped parameter: co-occurrence; unit of analysis: all keywords; threshold of (a) = 10, threshold of (b) = 2, full counting. In the corresponding map for ShanghaiTech, there were also six major thematic clusters, resulting from the following principal keywords: crystal structure, embryonic stem cell, gene expression, cell

Open access
Application of Motion Capture Attributes to Individual Identification under Corridor Surveillance

International Conference on Information and Communication Technology Convergence (ICTC) . 394–395. O’ haver , T. 2016. A Pragmatic Introduction to Signal Processing: With Applications in Scientific Measurement . CreateSpace Independent Publishing Platform. P eterkova , A. and S tremy , M. 2015. Obtaining the gait parameters from kinect sensor for the person identification. In 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES) . 337–340. R ahman , M. W. and G avrilova , M. L. 2017. Kinect gait skeletal joint feature

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