Projects

Community Building Projects

REQUIREMENTS:

• Software development (medium)

• Statistics (medium)

• Web design (medium)

• Community building (high)

• Level of difficulty (low to intermediate)

Crowd-sourcing recognizing animals

Similar to the Merlin smartphone app, which recognizes birds by their shape and song, develop an app and develop a user community that helps collecting labeled pictures of dogs, horses, but could also be insects (e.g. ants, bees, butterflies), and recognizes them by pointing the camera to the animals. It could either be the breed/species of the animal, or the emotion for an animal where humans can guess their emotions (e.g. dogs, horses).

Coolhunting Projects

REQUIREMENTS:

• Software development (medium)

• Statistics (medium)

• Web design (medium)

• Community building (low)

• Level of difficulty (low to intermediate)

Measuring the Ethics and Emotions of Tribes

Members of digital virtual tribes show their membership through their emotions in reaction to external events. For instance, depending on their ethical values, people will either react with compassion, or with anger and rejection to requests for support from refuges. Using the galaxyscope tribefinder system, build emotion tribes that will show their ethical and moral values (caring+fairness, or tradition+security) through the way they use words.

These algorithms can be used, for instance, to understand the demographics of consumer brands and products, and predict the performance of their stocks.

Creative Collaboration Networks of Musicians on Youtube

Right from the start of the YouTube platform, musicians had the opportunity to gain recognition among the broad mass of Internet users by publishing their creative content on YouTube. In the current generation of digital natives, well-known YouTube musicians sometimes achieve the status of celebrities. Over the years, however, it has not been limited to individual releases; instead, collaborations between musicians are becoming increasingly common within Youtube, and thus outside of the music industry's established release channels. It seems that they are motivated to collaborate less by monetary incentives, but rather by user interests, trends, or musical affinities. Therefore, it is of interest to find out how creative collaboration networks of musicians are formed within Youtube, which premises are necessary for this and which impact the networks have on the users and musicians.

Prediction Projects

REQUIREMENTS:

• Software development (high)

• Statistics/machine learning (high)

• Web design (medium)

• Community building (low)

• Level of difficulty (high)

Measuring the Happiness of Plants

Develop a plant sensing system using electric sensors which is capable of tracking the perception of plants and their communication with their environment measuring their signalling in their chemical and physical communication gateways. We measure the action potential of Mimosa Pudica and Codariocalyx Motorius as well as ordinary houseplants to track human-plant interaction using the spiker box and other hardware. This is an extension of previous projects in earlier COIN seminars.

Measuring Emotions of Dogs and Horses through their Body Language

Extend the facial emotion reading system for dogs and horses, developed in previous COINs seminars, to build a system on Android that labels the emotions of dogs or horses that you look at, based on their body language. You will have to collect libraries of labeled pictures of dogs or horses, where experts will have to agree on the emotion of the animal. For instance a wagging tail of a dog is correlated with joy. This is an extension of previous projects, and active field of research.

Measuring Emotions in Zoom Meetings

Build an emotion tracking system based on facial emotion recognition and give feedback to meeting participants about how they feel during the zoom meeting. Additionally there is also the smartphone "meeting balancer" who measures who is talking (too much). The goal is to create a happier and more engaged meeting environment. This is an extension of a project from previous COIN seminars.

Predicting Success of TikTok Videos

The more synchronized and entangled the participants in a TikTok video are, the more successful the video will be - at least that is the hypothesis. Download and analyse a series of TikTok videos using one of the open source TikTok download kits, and measure their synchonicity through image recognition and deep learning.

Measuring Emotions through Brainwaves

In a project jointly with Maison Du Futur, a collaborative of performing artists, we will develop a system that will give augmented reality feedback to the observer of a performance based on the brainwaves of the observer. We will be using the Emotiv Brainwear Insight headset to read the brainwaves while observing the performance, and then adjust audience feedback accordingly.

Analyzing Children's Drawings to recognize electrostatic influences

A school has had 22 children draw paintings with and without Wifi turned on, try to develop an image recognition system that automatically recognizes under what external conditions the drawing has been made.

Predicting Emotions in Text from Facial Emotions in Movies

Recognizing complex emotions (fear, anger,sad, joy, disgust, surprise) from text is difficult, humans are not good in this task. Use facial emotion recognition in movies (soaps) to train an ML system on the text in the movie.

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