Oblong Industries, Inc.

Kwindla Hultman Kramer

John Stephen Underkoffler

Carlton J Sparrell

Paul Yarin

Navjot Singh

Kate Hollenbach

Harald Belker

Kate Hollenback

Kevin Todd Parent

Tom H White

Mattie Ruth Kramer

A multi-process interactive system is described. The system includes numerous processes running on a processing device. The processes include separable program execution contexts of application programs, such that each application program comprises at least one process. The system translates events of each process into data capsules. A data capsule includes an application-independent representation of event data of an event and state information of the process originating the content of the data capsule. The system transfers the data messages into pools or repositories. Each process operates as a recognizing process, where the recognizing process recognizes in the pools data capsules comprising content that corresponds to an interactive function of the recognizing process and/or an identification of the recognizing process. The recognizing process retrieves recognized data capsules from the pools and executes processing appropriate to contents of the recognized data capsules.

Multi-process interactive systems and methods

Embodiments described herein includes a system comprising a processor coupled to display devices, sensors, remote client devices, and computer applications. The computer applications orchestrate content of the remote client devices simultaneously across the display devices and the remote client devices, and allow simultaneous control of the display devices. The simultaneous control includes automatically detecting a gesture of at least one object from gesture data received via the sensors. The detecting comprises identifying the gesture using only the gesture data. The computer applications translate the gesture to a gesture signal, and control the display devices in response to the gesture signal.

Operating environment with gestural control and multiple client devices, displays, and users

Embodiments described herein include mechanisms for encapsulating data that needs to be shared between or across processes. These mechanisms include slawx (plural of 'slaw'), proteins, and pools. Generally, slawx provide the lowest-level of data definition for inter-process exchange, proteins provide mid-level structure and hooks for querying and filtering, and pools provide for high-level organization and access semantics. Slawx includes a mechanism for efficient, platform-independent data representation and access. Proteins provide a data encapsulation and transport scheme using slawx as the payload. Pools provide structured and flexible aggregation, ordering, filtering, and distribution of proteins within a process, among local processes, across a network between remote or distributed processes, and via longer term (e.g. on-disk, etc.) storage.

Proteins, pools, and slawx in processing environments

Embodiments described herein includes a system comprising a processor coupled to display devices, sensors, remote client devices, and computer applications. The computer applications orchestrate content of the remote client devices simultaneously across at least one of the display devices and the remote client devices, and allow simultaneous control of the display devices. The simultaneous control includes automatically detecting a gesture of at least one object from gesture data received via the sensors. The gesture data is absolute three-space location data of an instantaneous state of the at least one object at a point in time and space. The detecting comprises aggregating the gesture data, and identifying the gesture using only the gesture data. The computer applications translate the gesture to a gesture signal, and control at least one of the display devices and the remote client devices in response to the gesture signal.

Operating environment comprising multiple client devices, multiple displays, multiple users, and gestural control

Systems and methods for detecting, representing, and interpreting three-space input are described. Embodiments of the system, in the context of an SOE, process low-level data from a plurality of sources of spatial tracking data and analyze these semantically uncorrelated spatiotemporal data and generate high-level gestural events according to dynamically configurable implicit and explicit gesture descriptions. The events produced are suitable for consumption by interactive systems, and the embodiments provide one or more mechanisms for controlling and effecting event distribution to these consumers. The embodiments further provide to the consumers of its events a facility for transforming gestural events among arbitrary spatial and semantic frames of reference.

Detecting, representing, and interpreting three-space input: gestural continuum subsuming freespace, proximal, and surface-contact modes

Systems and methods are described for navigating through a data space. The navigating comprises detecting a gesture of a body from gesture data received via a detector. The gesture data is absolute three-space location data of an instantaneous state of the body at a point in time and physical space. The detecting comprises identifying the gesture using the gesture data. The navigating comprises translating the gesture to a gesture signal, and navigating through the data space in response to the gesture signal. The data space is a data-representational space comprising a dataset represented in the physical space.

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Los Angeles, CA, United States of America

Kwindla Hultman Kramer