Integration of open source platform duckietown and gesture recognition as an interactive interface for the museum robotic guide

2018 ◽  
Author(s):  
Feng-Ching Cheng ◽  
Zi-Yu Wang ◽  
Jen-Jee Chen
Keyword(s):  
Open Source ◽  
Gesture Recognition ◽  
Interactive Interface

scholarly journals An Interactive WebGIS Framework for Coastal Erosion Risk Management

2021 ◽  
Vol 9 (6) ◽  
pp. 567
Author(s):  
Alessandra Capolupo ◽  
Cristina Monterisi ◽  
Alessandra Saponieri ◽  
Fabio Addona ◽  
Leonardo Damiani ◽  
...  
Keyword(s):  
Open Source ◽  
3D Visualization ◽  
Erosion Risk ◽  
Innovative Strategies ◽  
Web Mapping ◽  
Natural Processes ◽  
Multi Scale ◽  
Interactive Interface ◽  
Multi Temporal ◽  
User Friendly

The Italian coastline stretches over about 8350 km, with 3600 km of beaches, representing a significant resource for the country. Natural processes and anthropic interventions keep threatening its morphology, moulding its shape and triggering soil erosion phenomena. Thus, many scholars have been focusing their work on investigating and monitoring shoreline instability. Outcomes of such activities can be largely widespread and shared with expert and non-expert users through Web mapping. This paper describes the performances of a WebGIS prototype designed to disseminate the results of the Italian project Innovative Strategies for the Monitoring and Analysis of Erosion Risk, known as the STIMARE project. While aiming to include the entire national coastline, three study areas along the regional coasts of Puglia and Emilia Romagna have already been implemented as pilot cases. This WebGIS was generated using Free and Open-Source Software for Geographic information systems (FOSS4G). The platform was designed by combining Apache http server, Geoserver, as open-source server and PostgreSQL (with PostGIS extension) as database. Pure javascript libraries OpenLayers and Cesium were implemented to obtain a hybrid 2D and 3D visualization. A user-friendly interactive interface was programmed to help users visualize and download geospatial data in several formats (pdf, kml and shp), in accordance with the European INSPIRE directives, satisfying both multi-temporal and multi-scale perspectives.

An Open-Source Data Acquisition and Manual Segmentation System for Hand Gesture Recognition based on EMG

2021 ◽  
Author(s):  
Jonathan Zea ◽  
Marco E. Benalcazar ◽  
Lorena Isabel Barona Lopez ◽  
Angel Leonardo Valdivieso Caraguay
Keyword(s):  
Data Acquisition ◽  
Open Source ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Manual Segmentation ◽  
Open Source Data ◽  
Source Data

XKin: an open source framework for hand pose and gesture recognition using kinect

2014 ◽  
Vol 30 (10) ◽  
pp. 1107-1122 ◽  
Author(s):  
Fabrizio Pedersoli ◽  
Sergio Benini ◽  
Nicola Adami ◽  
Riccardo Leonardi
Keyword(s):  
Open Source ◽  
Gesture Recognition ◽  
Open Source Framework ◽  
Hand Pose

scholarly journals Using XlinkCyNET to visualize protein cross-links in Cytoscape software

2020 ◽  
Author(s):  
Diogo Borges Lima ◽  
Ying Zhu ◽  
Fan Liu
Keyword(s):  
Mass Spectrometry ◽  
Complex Networks ◽  
Open Source ◽  
Protein Interaction ◽  
High Performance ◽  
Protein Interaction Networks ◽  
Interaction Networks ◽  
Cross Linking ◽  
Interactive Interface ◽  
Cross Links

Abstract We present a high-performance app for Cytoscape to visualize cross-linking mass-spectrometry (XL-MS) data. XlinkCyNET is an open-source Java plugin that generates residue-to-residue connections provided by XL-MS in protein interaction networks. Importantly, it provides an interactive interface for the exploration of cross-links and offers various options to display protein domains. XlinkCyNET works well in complex networks containing thousands of proteins.

The Optimization of Interface Interactivity using Gesture Prediction Engine

2014 ◽  
Vol 68 (2) ◽  
Author(s):  
Mahdi Babaei ◽  
Wong Chee Onn ◽  
Lim Yan Peng
Keyword(s):  
Gesture Recognition ◽  
Hidden Markov ◽  
Primary Objective ◽  
Microsoft Kinect ◽  
Occurrence Probability ◽  
Digital Space ◽  
Photo Album ◽  
Interactive Interface ◽  
Interactive Interfaces ◽  
Optimized Model

The primary objective of this project is to develop a gesture recognition engine for interactive interfaces using Microsoft Kinect device. A photo album is a sample of daily-use applications that is capable of having interactive interface. In this project there are features implemented to help users to view and edit their photos on the easier way. Although the 3D interface of photo album increases the reality and easy to use, simplicity of natural gestures which are recognizing by the gesture recognition engine eases the interaction. The contribution of this project is simultaneous work of a prediction and recognition engine. The algorithm benefits a Hidden Markov Model (HMM) state machine to record, update and calculate the occurrence probability of each gesture as a state in relation with previous states. It also aims to solve a major problem of interaction with the same applications which were their dependence on using devices physically and touch them directly. The optimized model had tested in an interactive digital space.

scholarly journals Intelligent textiles: designing a gesture-controlled illuminated textile based on computer vision

2021 ◽  
pp. 004051752110342
Author(s):  
Jeanne Tan ◽  
Li Shao ◽  
Ngan Yi Kitty Lam ◽  
Anne Toomey ◽  
Lan Ge
Keyword(s):  
Computer Vision ◽  
Open Source ◽  
Gesture Recognition ◽  
Design Method ◽  
Stripe Pattern ◽  
Textile Design ◽  
Weave Structure ◽  
Recognition Function ◽  
Intelligent Technology ◽  
Novel Design

Artificial intelligence (AI) offers the potential for the development of e-textiles that give wearers a smart and intuitive experience. An emerging challenge in intelligent materials design is hand gesture recognition textiles. Most current research focuses on number gesture recognition via smart gloves, so there is a gap in research that studies contact-less number gesture recognition textiles via computer vision. Meanwhile, there is lack of exploration on the integration of illuminating function and number gesture recognition textiles to improve interactivity by real-time visualizing detection results. In this research, a novel interactive illuminating textile with a touch-less number gesture recognition function has been designed and fabricated by using an open-source AI model. It is used in sync with a polymeric optical fiber textile with illuminative features. The textile is color-changing, controlled by the system's mid-air interactive number gesture recognition capability and has a woven stripe pattern and a double-layer weave structure with open pockets to facilitate integration of the system's components. Also described here is a novel design process that permits textile design and intelligent technology to integrate seamlessly and in synchronization, so that design in effect mediates continuously between the physical textile and the intangible technology. Moreover, this design method serves as a reference for the integration of open-source intelligent hardware and software into e-textiles for enhancement of the intuitive function and value via economy of labor.

Sparsh UI: A Multi-Touch Framework for Collaboration and Modular Gesture Recognition

2009 ◽  
Author(s):  
Prasad Ramanahally ◽  
Stephen Gilbert ◽  
Thomas Niedzielski ◽  
Desire´e Vela´zquez ◽  
Cole Anagnost
Keyword(s):  
Rapid Prototyping ◽  
Open Source ◽  
Programming Language ◽  
Gesture Recognition ◽  
Virtual Assembly ◽  
Touch Input ◽  
Cross Platform

Most current multi-touch libraries provide support to recognize the touch input from particular hardware and seldom support complex gestures. For rapid prototyping and development of multi-touch applications, particularly for collaboration across multiple disparate devices, there is a need for a framework which can support an array of multi-touch hardware, provide gesture processing, be cross platform compatible, and allow applications to be developed in the desired programming language. In this paper we present criteria for evaluating a multi-touch library and “Sparsh UI”— an open source multi-touch library which is a novel attempt to address these issues by enabling developers to easily develop multi-touch applications. We also compare Sparsh UI with other multi-touch libraries and describe several Sparsh-based applications, including BasePlate, a system for collaborative virtual assembly.

Study of Vision-Based Hand Gesture Recognition System for Astronaut Virtual Training

2014 ◽  
Vol 998-999 ◽  
pp. 1062-1065
Author(s):  
Hong Hu ◽  
Jian Gang Chao ◽  
Zai Qian Zhao
Keyword(s):  
Gesture Recognition ◽  
Recognition System ◽  
Training System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Recognition Method ◽  
Virtual Training ◽  
Interactive Interface ◽  
Fast Development ◽  
Astronaut Training

With the fast development of vision-based hand gesture recognition, it is possible to apply the technology to astronaut virtual training. In order to solve problems of hand gesture recognition in future virtual training and to provide an unrestricted natural training for astronauts, this paper proposed a vision-based hand gesture recognition method, and implemented a hierarchical gesture recognition system to provide a gesture-driven interactive interface for astronaut virtual training system. The experiment results showed that this recognition system can be used to help astronaut training.

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