Abstract: A method, a non-transitory computer readable medium, and a system are disclosed for observing one or more subjects. The method includes monitoring a space with at least one master sensor, wherein a plurality of secondary sensors are installed in the space, and wherein a number of the at least one master sensor is less than a number of the plurality of secondary sensors; detecting regions of interest based on input from the at least one master sensor; identifying one or more secondary sensors from the plurality of secondary sensors in the detected regions of interest; and recognizing activities in the detected regions of interest from the one or more secondary sensors.

Abstract: A method, a non-transitory computer readable medium, and a system are disclosed for observing one or more subjects. The method includes monitoring a space with at least one master sensor, wherein a plurality of secondary sensors are installed in the space, and wherein a number of the at least one master sensor is less than a number of the plurality of secondary sensors; detecting regions of interest based on input from the at least one master sensor; identifying one or more secondary sensors from the plurality of secondary sensors in the detected regions of interest; and recognizing activities in the detected regions of interest from the one or more secondary sensors.

Abstract: A method is disclosed for detecting interaction between two or more participants in a meeting, which includes capturing at least one three-dimensional stream of data on the two or more participants; extracting a time-series of skeletal data from the at least one three-dimensional stream of data on the two or more participants; classifying the time-series of skeletal data for each of the two or more participants based on a plurality of body position classifiers; and calculating an engagement score for each of the two or more participants. In addition, a method is disclosed for improving a group interaction in a meeting, which includes calculating, for each of the two or more participants, an individual engagement state based on attitudes of the participant, wherein the individual engagement state is an engagement state of the participant to the meeting including an engaged state and a disengaged state.

Abstract: A method, a system, and a non-transitory computer readable medium are disclosed for real-time interaction with a user interface recognizing a gesture. The method including capturing three-dimensional (3D) data on a subject; detecting a pointing action by the subject from the 3D data; computing an initial estimate of a target region from the pointing action, the initial estimate of the target region having a defined radius around a center point; and tracking the pointing action of the subject and performing a series of iterations wherein the defined radius of the target region changes based on the detected pointing action.

Abstract: A method is disclosed for detecting interaction between two or more participants in a meeting, which includes capturing at least one three-dimensional stream of data on the two or more participants; extracting a time-series of skeletal data from the at least one three-dimensional stream of data on the two or more participants; classifying the time-series of skeletal data for each of the two or more participants based on a plurality of body position classifiers; and calculating an engagement score for each of the two or more participants. In addition, a method is disclosed for improving a group interaction in a meeting, which includes calculating, for each of the two or more participants, an individual engagement state based on attitudes of the participant, wherein the individual engagement state is an engagement state of the participant to the meeting including an engaged state and a disengaged state.

Abstract: A method, a system, and a non-transitory computer readable medium are disclosed for real-time interaction with a user interface recognizing a gesture.