Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image capturing device to capture one or more images, the one or more images corresponding to a field of the view of a user of a head-mounted augmented reality device, and a processor communicatively coupled to the image capturing device to extract a set of map points from the set of images, to identify a set of sparse points and a set of dense points from the extracted set of map points, and to perform a normalization on the set of map points.

A hologram switch system of a seat for vehicles generates hologram switch images for adjusting movement of the seat and air-conditioning of the seat in front of a passenger sitting on the seat, and allows the passenger to perform selection and operation in the generated hologram switch images through the position and motion of a passenger's hand, so that the passenger may more intuitively approach and easily operate the switch images and thereby easily operate various seat moving apparatuses and seat air-conditioning apparatuses.

The technology disclosed relates to relates to providing command input to a machine under control. It further relates to gesturally interacting with the machine. The technology disclosed also relates to providing monitoring information about a process under control. The technology disclosed further relates to providing biometric information about an individual. The technology disclosed yet further relates to providing abstract features information (pose, grab strength, pinch strength, confidence, and so forth) about an individual.

A method for hand pose identification in an automated system includes providing map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.

There is provided a program, a recognition apparatus, and a recognition method that make it possible to improve a recognition accuracy of a hand recognition process. As a hand recognition process for recognizing, according to a posture of a portable terminal including an optical sensor that receives light, a hand reflected in an image obtained by sensing of the optical sensor, a hand recognition process for the left hand or a hand recognition process for the right hand is performed. The present technology can be applied to a case in which a hand is recognized.

A method of executing a gesture command includes identifying a hand centroid of a hand. The method also includes identifying a first finger tip of a first finger on the hand. The method further includes identifying a thumb tip of a thumb on the hand. Moreover, the method includes determining a surface normal relationship between the hand centroid, the first finger tip, and the thumb tip.

In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate automated survey results generation from an image are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an image capturing component that captures a first sample image. The computer executable components can further comprise an image processing component that processes the first sample image to determine a survey count, wherein the survey count indicates a number of times a survey image was identified in the first sample image. The computer executable components can further comprise an authentication component that adjusts the survey count based on detection of a discrepancy.

A system includes an interface and a processor. The interface is configured to receive one or more images of an interior of a vehicle from a camera. The processor is configured to determine whether the one or more images indicates to initiate communication to a selected group of receivers from a driver; receive a message; and provide the message to the selected group of receivers.

A system for receiving a corpus of sign language data in which a plurality of known signs each correspond to known meanings, generate a model for identifying new sign language signs using the corpus, and identifying, using the model, a new sign language sign that does not match any of the plurality of known signs.

The technology disclosed herein includes a controller or device that provides multi-dimensional hand interaction with the digital world by delivering physical sensations to the palm and the fingertips. The device translates motion from the hand and fingers to control of a computer device, while simultaneously receiving signals to display haptic sensations. The device is “controller-held” around a user's hand, holding onto hand anatomy at key locations. In some embodiments, the device has one-handed engagement and disengagement. In some embodiments, the device may be used as a game controller, incorporating WebVR electronics and software, wireless communication, power-harvesting electronics, inertial measurements unit electronics including additional inputs for camera-based IMU supplementation, battery recharging electronic and internal communication protocol support electronics. In some embodiments, the device may be used in non-gaming environments, and include additional electronics that support universal remote controller components, IoT compatibility, and compatibility for wireless charging.