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I created this template to help compile my Masters thesis. Hopefully this helps my juniors to evade the muck of extra formatting right before submission
Gesture recognition and its implementation that support Human Computer systems are becoming very popular mode of interaction now a days. It allows to interfacing the man machine commutative information flow naturally. Vision based gesture recognition has the potential that can provide intuitive and effective interaction between man and machine. However there are not adequate tools and techniques that support for developing, detecting or executing these tasks. In this paper we will implement a prototype that facilitates recording data during building some action based activities captured by the Kinect sensor. We analyze those recorded clips and visualize the user interactions by recognition the gestures objects based on depth, IR and skeletal data. Kinect tools include an analysis feature, a time-line-based approach that manually or automatically can mark the recording sequences of clips. We will implement both discrete and continuous gestures by using AdaBoast machine learning approach to detect hands activities. Our result suggest that the learning mechanism can achieve more than 98% of confidence level of given gestures.
Keywords: Gesture recognition, Kinect, HCI, Machine learning, AdaBoost, Computer vision
In this experiment, AP Psychology 5th period asked the question "Does having a Christmas environment make shoppers more likely to choose holiday items rather than year-round ones?" The objective of this experiment was to answer this question. Also, a purpose of this experiment was to see, if the Christmas environment did, indeed, influence purchases, then to what extent? Two JROTC groups from 5th period were randomly selected, made their way to the AP Psychology classroom, and went on a shopping trip. These groups were in two different environments, non-Christmas and Christmas. Each environment had both non-Christmas and Christmas items to choose from. Data was collected from observers, "food cards", as well as pre and post surveys. Their data was collected and analyzed to see if the Christmas environment had any impact on whether students chose the Christmas items. After deep analysis, it can be seen that the Christmas environment influenced student's "purchases" (they did not actually have to buy the items). Although the first group (neutral environment) did not solely choose year-round items and the second group (Christmas environment) did not solely choose Christmas items, differences in purchases between the groups can still be noted. During the discussion with the subjects, some feel as though they were directly influenced by the Christmas decorations or lack thereof, while others say that they chose subconsciously.
Cali MacFarlane
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