58 skills found · Page 1 of 2
davidpagnon / Sports2DCompute 2D human pose and angles from a video or a webcam.
TemugeB / Joint Angles CalculateCalculate the joint angles of a body pose
yannlabb / RoboposeCode for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).
metinaktas / Acoustic Direction Finding Using Single Acoustic Vector Sensor Under High ReverberationWe propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
Manoj-2702 / Yoga Poses DatasetThis repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.
khanhha / Temporal Inverse Kinematicsa learning-based human inverse kinemtics. A graph convolution network is constructed to predict SMPLx joint angles from a tepmoral sequence of relative 3d poses in COCO format.
M-SenseResearchGroup / PykinematicsJoint angle estimation methods for both optical motion capture and IMU/MIMU based motion capture
seanschneeweiss / RoSeMotionHand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation implemented in Python
ssong47 / Compute Relative Angle Between Two IMUsThis github repository contains code to compute relative joint angles of two IMUs (MPU6050) using various algorithms.
zainmehdi / UR Simulation In Unity Hardware In The Loop Animation Of Real RobotSimulates UR using joint angles being published by a real robot over TCP IP
stevenhirsch / Human Motion Analysis With Kinect V2Python code to analyze joint angles during exercise from Kinect v2.
zenetio / RoboND Kinematics ProjectProvide Inverse Kinematics Analysis for Kuka R210 robot arm
msunardi / Blender RosStream Blender joint angles to a ROS node
PrithivirajManiram / Robotic EXoskeleton For Arm Rehabilitation REXAR Rehabilitation of people afflicted with elbow joint ailments is quite challenging. Studies reveal that rehabilitation through robotic devices exhibits promising results, in particular exoskeleton robots. In this work, 1 degree of freedom active upper-limb exoskeleton robot with artificial intelligence aided myoelectric control system has been developed for elbow joint rehabilitation. The raw surface electromyogram (sEMG) signals from seventeen different subjects for five different elbow joint angles were acquired using the Myo armband. Time-domain statistical features such as waveform length, root mean square, variance, and a number of zero crossings were extracted and the most advantageous feature was investigated for Artificial Neural Network (ANN) – a backpropagation neural network with Levenberg-Marquardt training algorithm and Support Vector Machine (SVM) – with Gaussian kernel. The results show that waveform length consumes the least amount of computation time. With waveform length as an input feature, ANN and SVM exhibited an average overall classification accuracy of 91.33% and 91.03% respectively. Moreover, SVM consumed 36% more time than ANN or classification.
Shurun-Wang / MFTCAN KNRContinuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
badalyaz / Fall DetectionPredicting fall using human skeleton joint angles.
tuliofalmeida / JamaJAMA is a device to measure joint angles wirelessly with 9 DOF, using a microcontroller (ESP32) together with an inertial measure unit (GY-80).
CocoaPebble / Mediapipe Pose CompareJoint angle comparison of mediapipe prediction results bvh conversion with ground truth bvh
MeileiJiang / AJIVE ProjectThis repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2018). Please refer to README.md for instruction.
soudazhou / Kinect Analysis Tool For Barbell WeightliftingThe aim of this project is to design and implement a software tool that will provide useful feedback for weightlifters wishing to improve their performance in the barbell deadlift. The tool will provide automatic feedback on lifts captured by a Microsoft Kinect 3D camera. It will exploit the Kinect's skeletisation capabilities to extract relevant joint angles in order to allow the comparison of different lifts. If the subject performs a set of lifts one after the other then the tool will identify where each individual lift starts and stops to make comparison easier. It enables recording of the weightlifting sessions with automatic detection and tracking of human body joints, extracting relevant information such as angles of human body joints from the lift, as well as analysis, evaluation and comparison with other lifts. It also allows the user to evaluate the performance of their lifts without the company of professional coaches which helps boosting weightlifting performance.
