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Accelerometer Based Hand Action Recognition using Atmega644

Introduction We created a wearable game controller that uses accelerometers to acquire action of the hand and then maps an action to an arbitrary keystroke. The types of actions we are trying to recognize should be suitable as input control for video games. We placed 3 z-axis accelerometers on tips of the thumb, the index

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Self-Adaptive Hybrid Electro-Magnetic Levitation and Active Balancing System Using Atmega644

Introduction In short, our project is just an isolated floating plate. Just as our title explained, it is mainly a floating plate that is segregated from all outside vibration using electromagnetic force. This purpose of the project is to design a system that complements common passive shock absorption mechanics and enhances their performance. The main

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Ultrasonic Haptic Vision System using Atmega644

Introduction The ultrasonic haptic vision system enables a person to navigate hallways and around large objects without sight, through the use of an ultrasonic rangefinder that haptically interfaces with the user via tiny vibrating motors mounted on the users head.  The idea behind this project was to construct a sixth sensory system that interacts with

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ACL Research: Foot Acceleration Sensor Atmega324p

Introduction This project was designed to aid a research study by Cornell Professors Bob Nafis and Yingxin Gao on the reasons behind the higher rate of ACL injuries suffered by female athletes. This injury rate can be up to three to eight times higher than the rate of similar injuries suffered by male athletes. The

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Fart Intensity Detector Using Atmega644

INTRODUCTION Our project is a fart intensity detector which ranks fart magnitude on a scale from 0-9 according to sound, temperature, and gas concentrations. The inspiration for this project was to determine who could generate the worst flatulence measurable in a personally unbiased manner. To do so, however, requires measuring the intensity of these emissions.

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Dual-Channel Mobile Surface Electromyograph Using Atmega644

Introduction For our final project, we built a surface electromyograph to collect and analyze data on muscle activity, which supports two channels, implements wireless transmission, and can be worn as mobile unit. Surface electromyography (EMG) is a noninvasive technique to record the activation signals of muscles when they are mechanically active. This signal is very

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