AI and Virual Reality for Teaching in Rural Areas

AI and Virual Reality for Teaching in Rural Areas

I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom)

Virtual Reality, Artificial Intelligence, Internet of Things

Description

I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom) where there are not enough teachers to teach them certain subjects. This will involve culture conducive AI tools and delivery.

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Ravi K. updated status

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Ravi K

Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.

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Timothy P. created project MR. Configurator Tool

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MR. Configurator Tool

This tool was designed to speed up calibration of your MR setup. This article explains how to use the tool and help you get the most out of your MR experiences. For VR users and streamers, making MR videos is a great way to show a different perspective to people who aren’t wearing a head-mounted display (HMD), while for VR developers, MR videos are a great way to create trailers and show a more comprehensive view of the VR experience.

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Jay S. created project Significance-based Large-Scale 3D Point Cloud Compression and Management

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Significance-based Large-Scale 3D Point Cloud Compression and Management

3D point-cloud (3DPC) is becoming a popular representation of the world in the emerging interaction and communication applications such as virtual reality entertainment, gaming, 3D free viewpoint sport replays broadcasting. Several typical user cases can be found in [ISO/IEC JTC1/SC29/WG11 MPEG2015/ N16331’16]. A critical problem of the 3DPC representation is the huge amount of data to signal such 3D information. Currently, many efforts have been put on developing techniques those are able to efficiently compress 3DPC representations [Rufael’17, D. Thanou’15, R. L. de Queiroz’16]. However, these is no an international compression standard for 3DPC sequences. Logically, MPEG have made a call for proposals in order to develop a coding standard for 3DPC compression technology [ISO/IEC JTC1/SC29/WG11 MPEG2014/N16732’17].

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Suraj R. created project Music Recommender based on Emotion determined by Facial Expression

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Music Recommender based on Emotion determined by Facial Expression

Emotions are the essence of what makes us human. They impact our daily routines, our social interactions, our attention, perception, and memory. One of the strongest indicators for emotions is our face. As we laugh or cry we’re putting our emotions on display, allowing others to glimpse into our minds as they "read" our face based on changes in key face features.

Facial expressions refer to movements of the mimetic musculature of the face. The vast majority of these muscles are innervated by the cranial nerve, emanating from the brainstem between the pons and medulla. The nerve includes a motor root that supplies somatic muscle fibers to the muscles of the face, scalp, and outer ear, enabling the muscle movements that comprise facial expressions.

Computer-based facial expression recognition is a challenging task in computer vision as it captures raw, unfiltered emotional responses towards any type of emotionally engaging content.

Here we are going to determine (successfully) your mood and play music based on your determined emotion.

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