There is great interest in camera-based wearables for monitoring human activity. These devices can be used to monitor activity anywhere and at any time. Much of human activity involves the use of hands and often in conjunction with objects. Certain everyday activities, e.g., taking medication or grabbing keys, can be quite complex. These activities...

Background Monitoring the hands and their immediate environment can provide insight into what we are planning and the activities we are performing. When we want to grasp an object, our hands and body adjust to the shape, texture, and weight of the object. If at the same time, we can capture images of the object to be grasped, then we can use neural...

Due to the increase in the amount of digital data, effective data classification plays an increasingly important role in real world applications. For instance, a retrieval application would use a trained classification model to retrieve relevant results with respect to a query. To ensure reliable performance, the classifier must be trained using labeled...

Due to the tremendous increase in the amount of digital data, effective large scale data classification is playing an increasingly important role. In active learning algorithms a ?classifier? is used to classify the unlabeled data. To ensure reliable performance of the classifier, it must be trained using a number of labeled examples, or the...

Nanotechnology is the study of the control of matter at the atomic and molecular level, and is focused mainly on the creation of materials and equipment to work within that scale. One thing holding back the advancement of this technology is the lack of experimental tools capable of visualizing nanoprocesses in real time across their full range of operation....