Browsing by Subject "human behavior"
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Item Anomaly Detection: Under the [data] hood in Smart Cars(IEEE, 2019-08-01) Quader, Faisal; Janeja, Vandana P.This research focuses on discovering baseline models for driving behavior and vehicle functioning from data in smart cars. This facilitates detection of anomalous behaviors that deviate from such baselines. Human behavioral patterns capture frequent or repeated behaviors of users in the data. Here the data is from smart car sensors which capture driving behaviors as a direct function of how the vehicle responds to the use by drivers. We define models that represent these patterns in vehicle data to associate with the human behaviors for the detection of the anomalous situations in driving. We deal with different scales and resolutions of time where driver behavior is captured. We validate our findings of discovering behavioral baselines with frequent patterns discovered in the data. These computational models for driver behavior can provide baselines as well as help to discern truly adverse incidents. We can also apply these models to identify emerging cyber threats on smart cars.Item Automatically Infer Human Traits and Behavior from Social Media Data(2018) Pan, Shimei; Ding, TaoGiven the complexity of human minds and their behavioral flexibility, it requires sophisticated data analysis to sift through a large amount of human behavioral evidence to model human minds and to predict human behavior. People currently spend a significant amount of time on social media such as Twitter and Facebook. Thus many aspects of their lives and behaviors have been digitally captured and continuously archived on these platforms. This makes social media a great source of large, rich and diverse human behavioral evidence. In this paper, we survey the recent work on applying machine learning to infer human traits and behavior from social media data. We will also point out several future research directions.