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In surveillance images, soft biometric attributes have been demonstrated to be quite effective in the problem of person re-identification. Many of these attributes can vary greatly, which has motivated a number of hand crafted features designed to recognize individual attributes. Although deep learning is generally useful in learning features appropriate for classification, it usually requires more...
In Navy human firefighting teams, touch is used extensively to communicate among teammates. In noisy, chaotic, and visually challenging environments, such as among fires on Navy ships, this is the only reliable means of communication. The overarching goal of this work is to augment Navy firefighting teams with an autonomous robot serving as a nozzle operator; to accomplish this, the robot must understand...
The goal of our research is to design a haptic-based system to assist people with disabilities in learning functional motor tasks. Specifically, we are studying the upper extremity while performing daily activities. We have explored fine motor activities, such as writing, and gross motor activities, such as feeding and grooming. We use electromagnetic sensors (MotionStar Wireless 2) to capture unencumbered...
We have developed engaging virtual environments using haptic technology for the purpose of both understanding functional activity and restoring functionality to disabled individuals. To assess our virtual environments, we used 21 able-bodied subjects and examined their motor performance by comparing several metrics captured by the simulations to the completion time. We discovered that individuals...
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