H04N21/42201

Ergonomic man-machine interface incorporating adaptive pattern recognition based control system

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

Video modification and transmission using tokens
11559737 · 2023-01-24 · ·

Methods and apparatus are disclosed for video transmission using tokens. According to one example, computer-readable storage media store instructions that cause a processor to: distribute, toward terminal devices of a plurality of viewers via a communication line, motion data or a first video including an animation of an avatar of a distributor generated on the basis of the motion data; distribute, toward the terminal devices of the plurality of viewer via the communication line, a second video related to a computer-implemented game generated on the basis of operation data by using a received web page; receive, via the communication line, token data indicating that any type of token among a plurality types of tokens is given to the distributor, the token data being generated by the terminal device of each viewer viewing the second video; calculate a score based on the total number of at least one type of tokens given to the distributor using the token data; and control a game object used in the game on the basis of the score.

Electronic device that presents media content on display based on consumer context

An electronic device, computer program product, and method enable selection and presentation of media content associated with a person identified in a monitored space. The electronic device includes a device interface that is communicatively coupled to a media output device that presents media content in the monitored area. A controller of the electronic device is communicatively coupled to sensor(s) and the media output device. The controller presents a default selection of media content on the media output device. The controller monitors the sensor(s) to detect a presence of a person within or approaching the monitored area. The controller identifies the person. The controller selects, from among a plurality of available media content, media content that is associated with the identified person. The controller presents the selected media content on the media output device.

Predictive Power Management Using Machine Learning

Systems and methods are described for power control in a media receiver device having a plurality of electronic components, using a trained model. Input signals are received from at least one electronic component. An alertness state of the device is determined using a machine learning based determiner trained to process the received input signals and predict a subsequent alertness state identifying at least one additional component or device. Power consumption by the identified components and devices is controlled based on the predicted alertness state.

Method and device for latency reduction of an image processing pipeline

In some implementations, a method includes: determining a complexity value for first image data associated with of a physical environment that corresponds to a first time period; determining an estimated composite setup time based on the complexity value for the first image data and virtual content for compositing with the first image data; in accordance with a determination that the estimated composite setup time exceeds the threshold time: forgoing rendering the virtual content from the perspective that corresponds to the camera pose of the device relative to the physical environment during the first time period; and compositing a previous render of the virtual content for a previous time period with the first image data to generate the graphical environment for the first time period.

REMOTE ENGAGEMENT SYSTEM
20230224539 · 2023-07-13 ·

A remote engagement system for a live event occurring at a venue includes an output device located at the venue or remotely from the venue for providing audio and/or visual output to at least one recipient. A controller receives signals, such signals being representative of physical reactions of remote viewers and being transmitted from a plurality of user input devices located remotely from each other and from the venue and controls the output device located at the venue or remotely from the venue to provide an audio and/or visual output to people at the venue or located remotely from the venue.

Facilitating panoramic video streaming with brain-computer interactions

Aspects of the subject disclosure may include, for example, obtaining one or more signals, the one or more signals being based upon brain activity of a viewer while the viewer is viewing media content; predicting, based upon the one or more signals, a first predicted desired viewport of the viewer; obtaining head movement data associated with the media content; predicting, based upon the head movement data, a second predicted desired viewport of the viewer; comparing the first predicted desired viewport to the second predicted desired viewport, resulting in a comparison; and determining, based upon the comparison, to use the first predicted desired viewport to facilitate obtaining a first subsequent portion of the media content or to use the second predicted desired viewport to facilitate obtaining a second subsequent portion of the media content. Other embodiments are disclosed.

CONTENTS DISPLAY APPARATUS, CONTENTS DISPLAY METHOD, AND STORAGE MEDIUM STORING PROGRAM
20230010797 · 2023-01-12 ·

A content display apparatus includes: a state identifying part that identifies a state of a viewer who is to view content; an image data selecting part that selects a plurality of pieces of image data from a plurality of image data candidates on the basis of the state of the viewer identified by the state identifying part; a content generating part that generates state improvement content for improving the state of the viewer by determining an order in which to display the plurality of pieces of image data; and a display control part that causes a display part viewed by the viewer U to display the state improvement content.

AUTOMATED GENERATION OF CONTROL SIGNALS FOR SEXUAL STIMULATION DEVICES
20230210715 · 2023-07-06 ·

A system and method for automated generation of control signals for sexual stimulation devices from usage history and other data. The system and method involve analyzing historical usage and other data for a user for a device or devices, processing the data through machine learning algorithms, and generating new or recombined patterns of stimulation based on the outputs from the machine learning algorithms. The resulting automated control signals represent partially or fully customized stimulation for a given user which evolve over time as the user continues to use the device or devices.

VOICE-BASED CONTROL OF SEXUAL STIMULATION DEVICES
20230210716 · 2023-07-06 ·

A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.