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Having a number of Webcam-captured video streams, build a Web application that detect, classify, compare, and synchronize hand and arm gestures performed by (human) users. A conceptual model will be created/(re)used in order to express (classes of) gestures, anatomic features, associated actions, etc. A rule-based approach could be adopted – for example, if the "wave" gesture is detected in at least 74% of video feeds exposed by a video-conferencing system, then the conference session will be ended. Also, different statistics of interest will be offered in graphical form and as JSON-LD data. Study An Ontology for Reasoning on Body-based Gestures. Consult also Awesome Streaming and Recognition APIs. Bonus: capturing and exposing useful provenance.
Semantic Web API to unify big software development resource platforms
Embark on a botanical journey like never before with BotaniqScape, an immersive and captivating social platform designed to revolutionize the way we explore and connect with the wonders of botanical gardens.
A simple data exploratory tool, built using R and Shiny.
TRASD - Traffic Sign Smart Detector - College Web Application Development Course Project
Web system able to "intelligently" recommend – by exposing a SPARQL endpoint – vinyl music records according to various criteria: user preferences , past song purchases on various music stores, playlists – available online via music streaming services – and/or locally – for instance, by uploading a JSPF/XSPF document.