Inferring High-Level Behavior from Low-Level Sensors DRAFT — Not For Citation!
نویسندگان
چکیده
We present a method of learning a Bayesian model of a traveller moving through an urban environment. This technique is novel in that it simultaneously learns a unified model of the traveller’s current mode of transportation as well as his most likely route, in an unsupervised manner. The model is implemented using particle filters and learned using Expectation-Maximization. The training data is drawn from a GPS sensor stream that was collected by the authors over a period of three months. We demonstrate that by adding more external knowledge about bus routes and car location, accuracy is improved.
منابع مشابه
Inferring High-Level Behavior from Low-Level Sensors
We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified model of the traveler’s current mode of transportation as well as his most likely route, in an unsupervised manner. The model is implemented using particle filters and learned using Expectation-Maximization. The training data is d...
متن کاملInferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform
Thanks to the decreasing cost, increasing mobility, and wider use of sensors, a great number of possible applications have recently emerged, including applications that may impact the high-level goals in people’s lives. Applications can be found in many areas ranging from medical devices to consumer devices. Information about activity and context can be inferred from sensors and be used to prov...
متن کاملCapturing Individual and Group Behavior with Wearable Sensors
We show how to obtain high level descriptions of human behavior in terms of physical activity, speech activity, face-to-face interaction (f2f), physical proximity, and social network attributes from sensor data. We present experimental results that show that it is possible to identify individual personality traits as well as subjective and objective group performance metrics from low level data...
متن کاملObject Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images
Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...
متن کاملSynthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone
As more people get using mobile phones, smartphone which is a new generation of mobile phone with computing capability earns world-wide reputation as new personal business assistant and entertainment equipment. This paper presents a synthetic character which acts as a user assistant and an entertainer in smartphone. It collects low-level information from various information sources available in...
متن کامل