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Simplified interface to Leap Motion designed for art and music apps
LeapInto provides a simplified interface to the Leap Motion hand sensor input device. Multiple hand recognition is simplified to several stable categories and coordinates are normalised. The interface comes two flavours at present, an open broadcast system using the OSC protocol and a plugin for the Csound audio/music programming language.
Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
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- Microchip's XC18 used for the initial coding.
Long term objective:
In the future, a ARD platform may be added, to implement more sophisticated pilot, sensors (camera, image recognition, etc).
The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.
Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
Mostly academic research Project about next generation computing (Software only), trying to find new ideas and solutions how computers can work in the future using technologies like voice recognition and synthesisation. Everyone is invited to join in
Affisix is a program for automatic recognition of prefixes. It takes large amount of words and according to the user setting it tries to determine which segments of these words are prefixes.
Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
This project is the conclusion of three years of research and development of a final project of Bachelor of Engineering Faculty of Univertité Sherbrooke.
It consists of a circuit to representing the hand movement with neural network for recognition.
This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.
Augmenting other natural interfaces namely handwriting, speech recognition to input Indian language characters to the computer. Speech synthesis is also provided to read out local language text.
baobab is an implementation of FPTrees or Frequent Pattern Trees, a pattern recognition/data mining technique. it has innumerable applications in language processing, clickstream analysis, etc.
VoxForge collects user-submitted speech audio files for the creation of Acoustic Models for Free and Open Source Speech Recognition Engines such as HTK, Julius, ISIP and Sphinx.
Fingerprint Laboratory - a portable and layered package of libraries and tools for academic research and productive use that allows people to easily integrate Automatic Fingerprint Recognition technology into their software or system with little know-how.
The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.