Columbia-ICSL / PAWS-FrontEnd

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README

This repository contains the code, pcb design, and documentation for the Pedestrian Audio Wearable System (PAWS) front-end, headset, embedded platform.

PAWS is a low-power connected system for improving pedestrian safety in current and future smart cities. PAWS uses microphones embedded into a headset combined with low-power feature extraction, signal processing, and machine learning, for detecting, localizing, and providing alerts of oncoming vehicles to pedestrians in noisy environments.

The contents of this repository are summarized below.

Reproducing the PAWS system

To reproduce the PAWS system, you must first install the PAWS smartphone application; details on how to do this can be found in the PAWS-Smartphone repository.

Next, you must reproduce the PAWS front-end PCB. Details on how to do this can be found in the ./PAWS folder.

Reproducing the PAWS LE System

To reproduce the PAWS LE system, you must first install the PAWS LE smartphone application; details on how to do this can be found in the PAWS-Smartphone repository.

Next, you must reproduce the PAWS LE front-end PCB. Details on how to do this can be found in the ./PAWS_LE folder.

More About the PAWS Project

To learn more about PAWS, please visit our project page, or contact us at: stephen.xia@columbia.edu.

This repository is part of the Pedestrian Audio Wearable System (PAWS) project of the Intelligent and Connected Systems Lab (ICSL), Columbia University. For more information about our latest projects, please visit our group website.