• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.8
• /
• pp.1925-1936
• /
• 2010

In this paper, multi-legged robot was designed and produced using stable walking pattern algorithm. The robot had embedded camera and wireless communication function and it is possible to recognize both hand posture and obstacles. The algorithm decided moving paths, and recognized and avoided obstacles through Hough Transform using Edge Detection of inputed image from image sensor. The robot can be controlled by hand posture using Mahalanobis Distance and average value of skin's color pixel, which is previously learned in order to decide the destination. The developed system has shown obstacle detection rate of 96% and hand posture recognition rate of 94%.

• Journal of the Korean Society for Library and Information Science
• /
• v.55 no.1
• /
• pp.469-492
• /
• 2021

This study aims to find an optimal method for the mobile map application to provide directions by analyzing users' behavior in wayfinding and the information referenced in the direction-finding tasks. The mobile application provided information such as 'the name of the store on the first floor,' 'current location and directions to proceed if there are multi-branching roads,' and 'alleyways.' In the visual representation of information, the application should pay attention to 'landmark elements such as subway station exits and bus stops,' 'the color of crosswalks and overpasses,' 'division between sidewalks and driveways,' and 'entry to the subway stations.' For the mobile map application to provide intuitive interaction, it is necessary to specify 'the direction toward the destination,' 'the possible rotation of the map screen,' and 'the big roads' preference guidance.'