Coding4Fun Kinect Projects

CrashAlert - "Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking"

Description

Today's inspirational research project is both kind of cool and pretty funny (that we even need this). Make sure you head over to Juan's blog, Peripeteia to get more information and even a parody video...

App uses Kinect to help save lives of oblivious texters

A postdoctoral researcher at the University of Manitoba has developed a mobile app that uses depth-sensing cameras to alert people who are about to suffer collisions because they’re staring at their smartphones instead of watching where they’re going. The application, known as CrashAlert, is still in the early stages of development, but in the future it will work on smartphones that are equipped with cameras that can detect their surroundings. Juan Hincapié-Ramos, the app’s creator, tested CrashAlert using a 7-inch Acer tablet connected to Microsoft’s Kinect motion sensor. The researcher then had volunteers play a mobile game while walking down a crowded hallway.

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CrashAlert

Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking

Mobile device use while walking, or eyes-busy mobile in-teraction, is a leading cause of life-threatening pedestrian collisions. We introduce CrashAlert, a system that aug-ments mobile devices with a depth camera, to provide dis-tance and location visual cues of obstacles on the user’s path. In a realistic environment outside the lab, CrashAlert users improve their handling of potential collisions, dodg-ing and slowing down for simple ones while lifting their head in more complex situations. Qualitative results outline the value of extending users’ peripheral alertness in eyes-busy mobile interaction through non-intrusive depth cues, as used in CrashAlert. We present the design features of our system and lessons learned from our evaluation.

CrashAlert: Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking

ABSTRACT
Mobile device use while walking, or eyes-busy mobile interaction, is a leading cause of life-threatening pedestrian collisions. We introduce CrashAlert, a system that augments mobile devices with a depth camera, to provide distance and location visual cues of obstacles on the user’s path. In a realistic environment outside the lab, CrashAlert users improve their handling of potential collisions, dodging and slowing down for simple ones while lifting their head in more complex situations. Qualitative results outline the value of extending users’ peripheral alertness in eyes-busy mobile interaction through non-intrusive depth cues, as used in CrashAlert. We present the design features of our system and lessons learned from our evaluation.

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Project Information URL: http://bgr.com/2013/06/06/microsoft-kinect-smartphone-app-texting/, CrashAlert, CrashAlert: Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking

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