scholarly journals Ludibot: Interfaz humano-robot móvil para el aprendizaje lúdico de idiomas

2021 ◽  
Vol 22 (3) ◽  
pp. 1-10
Author(s):  
Manuel Alejandro Ojeda Misses ◽  
Haydée Silva Ochoa ◽  
Alberto Soria López
Keyword(s):  
Kinect V2

Ludibot, robot móvil basado en el dispositivo Kinect v2, busca aprovechar la interacción gestual humano-máquina con fines de aprendizaje de una lengua extranjera. Este proyecto deliberadamente pluridisciplinario asocia la robótica tanto con las ciencias del juego como con la didáctica de lenguas y culturas. El presente artículo pormenoriza los componentes de Ludibot y discute los principales aspectos relativos al control de la interfaz interactiva humano-robot móvil. Posteriormente, expone la estructura de dicha interfaz y describe el primer juego desarrollado, enfocado al aprendizaje lúdico del vocabulario relativo a las partes del cuerpo en francés.

DEVELOPMENT OF A SYSTEM FOR HUMAN GAIT ANALYSIS USING KINECT V2

2019 ◽  
Author(s):  
Ítalo Rodrigues ◽  
Jadiane Dionisio ◽  
Rogério Sales Gonçalves
Keyword(s):  
Gait Analysis ◽  
Human Gait ◽  
Kinect V2 ◽  
Human Gait Analysis

Real-time approach for gait analysis using the Kinect v2 sensor for clinical assessment purpose

2020 ◽  
Author(s):  
Alexandre de Queiroz Burle ◽  
Thiago Buarque de Gusmao Lafayette ◽  
Jose Roberto Fonseca ◽  
Veronica Teichrieb ◽  
Alana Elza Fontes Da Gama
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Clinical Assessment ◽  
Kinect V2

scholarly journals Human Gait Cycle Analysis Using Kinect V2 Sensor

2020 ◽  
Vol 15 (3) ◽  
pp. 3-14
Author(s):  
Péter Müller ◽  
Ádám Schiffer
Keyword(s):  
Gait Cycle ◽  
Medical Condition ◽  
Measurement Data ◽  
Human Movement ◽  
Gait Pattern ◽  
Lower Limbs ◽  
Human Gait ◽  
Skeleton Model ◽  
Kinect V2 ◽  
Reduced Mobility

Examining a human movement can provide a wealth of information about a patient’s medical condition. The examination process can be used to diagnose abnormal changes (lesions), ability development and monitor the rehabilitation process of people with reduced mobility. There are several approaches to monitor people, among other things with sensors and various imaging and processing devices. In this case a Kinect V2 sensor and a self-developed LabView based application was used, to examine the movement of the lower limbs. The ideal gait pattern was recorded in the RoboGait training machine and the measured data was used to identify the phases of the human gait. During the evaluation, the position of the skeleton model, the associated body joints and angles can be calculated. The pre-recorded ideal and natural gait cycle can be compared.With the self-developed method the pre-recorded ideal and natural gait cycle can be compared and processed for further evaluation. The evaluated measurement data confirm that a reliable and mobile solution for gait analysis has been created.

Gait parameters extraction by using mobile robot equipped with Kinect v2

2016 ◽  
Author(s):  
Ami Ogawa ◽  
Akira Mita ◽  
Ayanori Yorozu ◽  
Masaki Takahashi
Keyword(s):  
Mobile Robot ◽  
Kinect V2 ◽  
Parameters Extraction ◽  
Gait Parameters

Kinect v2 accuracy as a body segment measuring tool

2017 ◽  
Author(s):  
V. Espinoza Bemal ◽  
N. A. Satterthwaite ◽  
A. Napoli ◽  
S.M. Glass ◽  
C. A. Tucker ◽  
...  
Keyword(s):  
Body Segment ◽  
Kinect V2 ◽  
Measuring Tool

A depth image acquisition platform based on Kinect V2

2021 ◽  
Author(s):  
Yu Zhai ◽  
Yanlin Qu ◽  
Peng Xu ◽  
Mengyao Li ◽  
Shaokun Han
Keyword(s):  
Image Acquisition ◽  
Depth Image ◽  
Kinect V2
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