Real-Time Human-Posture Recognition for Human-Drone Interaction Using Monocular Vision

Cai, Chenglin; Yang, Shaowu; Yan, Peifeng; Tian, Jinkai; Du, Lei; Yang, Xuejun

doi:10.1007/978-3-030-27541-9_18

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…At present, there are two main methods of human posture recognition: posture recognition based on inertial sensor (Wang et al 2019;Zhang et al 2018) and posture recognition based on image acquisition (Chevtchenko et al 2018;Oudah et al 2020). According to the number of image acquisition devices, posture recognition based on image acquisition can be further classified as monocular video recognition (Cai et al 2019) and multicular video recognition (Mircoli et al 2018). The general idea of posture recognition based on image acquisition first adopts the camera to capture the athletes' images or videos, then extracts the hidden motion features, and finally designs a classifier to recognize the athletes' motion posture.…”

Section: Wsn-driven Posture Recognition and Correction Towards Basket...mentioning

confidence: 99%

WSN-Driven Posture Recognition and Correction Towards Basketball Exercise

Cheng

2022

International Journal of Information System Modeling and Design

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In order to enhance the daily training for basketball sport, this paper establishes a human posture estimation framework by using monocular camera and wireless sensor network. First, the daily basketball training images are collected by monocular camera and transmitted through wireless sensor network. Second, the collected images are processed by an observation and reasoning model which is based on component and graph reasoning. The basketball player’s posture is depicted by the rotation invariant features of edge field. The extracted features are used to learn a boosting classifier as the observation model. The experimental results show that the posture recognition rate can achieve more than 88% for basketball player’s action.

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Section: Wsn-driven Posture Recognition and Correction Towards Basket...mentioning

confidence: 99%

WSN-Driven Posture Recognition and Correction Towards Basketball Exercise

Cheng

2022

International Journal of Information System Modeling and Design

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“…However, most of them rely on special instruments or external devices to identify body gestures. Closer to our work, in [15] a NUI was created to recognize specific user positions. They obtained image regions and joint positions of human bodies in images through OP and then the feature vectors of a human body were generated and classified by a Support Vector Machine (SVM).…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Natural User Interface to Command a Drone

Yam-Viramontes,

Mercado-Ravell

2020

Preprint

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In this work, we propose the use of a Natural User Interface (NUI) through body gestures using the open source library OpenPose, looking for a more dynamic and intuitive way to control a drone. For the implementation, we use the Robotic Operative System (ROS) to control and manage the different components of the project. Wrapped inside ROS, OpenPose (OP) processes the video obtained in real-time by a commercial drone, allowing to obtain the user's pose. Finally, the keypoints from OpenPose are obtained and translated, using geometric constraints, to specify high-level commands to the drone. Realtime experiments validate the full strategy.

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