Computer Science Thesis Oral

— 3:15pm

In Person - Reddy Conference Room, Gates Hillman 4405

ROGER IYENGAR , Ph.D. Candidate, Computer Science Department, Carnegie Mellon University

Scaling Up Wearable Cognitive Assistance for Assembly Tasks

Wearable Cognitive Assistance (WCA) applications run on wearable mobile devices, to provide guidance for real world tasks. Physical assembly tasks have been a significant focus of research on WCA. We introduce new techniques to support the development of WCA applications for more complex assembly tasks than previous techniques supported. In addition, our work reduces the load on developers creating WCA applications by eliminating the need to collect and label real training images. We accomplish this by training computer vision models on synthetically generated images. 

This dissertation investigates escalation to human experts in cases when a user is not satisfied with the automated guidance from an application. Lastly, we develop a new version of a software framework for WCA applications, and evaluate ways in which WCA applications can benefit from running computations directly on mobile devices.

Thesis Committee:

Mahadev Satyanarayanan (Chair)

Martial Hebert

Roberta Klatzky

Padmanabhan Pillai (Intel Labs)

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