The technology disclosed relates to enhancing the fields of view of one or more cameras of a gesture recognition system for augmenting the three-dimensional (3D) sensory space of the gesture recognition system. The augmented 3D sensory space allows for inclusion of previously uncaptured of regions and points for which gestures can be interpreted i.e. blind spots of the cameras of the gesture recognition system. Some examples of such blind spots include areas underneath the cameras and/or within 20-85 degrees of a tangential axis of the cameras. In particular, the technology disclosed uses a Fresnel prismatic element and/or a triangular prism element to redirect the optical axis of the cameras, giving the cameras fields of view that cover at least 45 to 80 degrees from tangential to the vertical axis of a display screen on which the cameras are mounted.

Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes an on-body sensor to output first signals associated with at least one of movement of a body part of a user or a position of the body part relative to a virtual object and an off-body sensor to output second signals associated with at least one of the movement or the position relative to the virtual object. The apparatus also includes at least one processor to generate gesture data based on at least one of the first or second signals, generate position data based on at least one of the first or second signals, determine an intended action of the user relative to the virtual object based on the position data and the gesture data, and generate an output of the virtual object in response to the intended action.

The disclosed embodiments include wearable devices and methods for performing courier services. In one implementation, the device includes a depth camera for detecting object depths in a field of view, a scanner for decoding visual codes, a speaker for producing audible sounds in response to an electrical signal, memory, and a processor. The processor may execute instructions to detect a scanning event based on a first signal received from the depth camera, determine a scan region associated with the scanning event, provide a second signal to the scanner causing the scanner to decode a visual code located within the scan region, generate scan data based on a third signal received from the scanner, and provide a fourth signal to the speaker causing the speaker to emit a notification sound. The wearable device may also capture signatures, dimension objects, and disable device functions based on time and place restrictions.

The present disclosure is related to a method and device for detecting a touch between at least part of a first object and at least part of a second object, wherein the at least part of the first object has a different temperature than the at least part of the second object. The method includes providing at least one thermal image of a portion of the second object, determining in at least part of the at least one thermal image a pattern which is indicative of a particular value or range of temperature or a particular value or range of temperature change, and using the determined pattern for detecting a touch between the at least part of the first object and the at least part of the second object.

In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide a service to recommend actions and transformations, on an input data, based on patterns identified from the functional decomposition of a data flow for a software application, including determining possible transformations of the data flow in subsequent applications. Data flows can be decomposed into a model describing transformations of data, predicates, and business rules applied to the data, and attributes used in the data flows.

An input device comprises a plurality of optical vibration sensors mounted in a common housing. Each optical vibration sensor comprises a diffractive optical element; a light source arranged to illuminate the diffractive optical element such that a first portion of light passes through the diffractive optical element and a second portion of light is reflected from the diffractive optical element; and a photo detector arranged to detect an interference pattern generated by said first and second portions of light. The optical vibration sensor is configured so that in use, after the first portion of light passes through the diffractive optical element, the first portion of light is reflected from a reflective surface onto the photo detector. The input device is placed in contact with a surface of a solid body, and an object is brought into physical contact with the surface of the solid body, thereby causing vibrations in the solid body. The vibrations are detected using two or more of the optical vibration sensors. The relative phase(s) of the vibrations are used to determine information regarding the point of contact of the object on the surface of the solid body.

An input device comprises a plurality of optical vibration sensors mounted in a common housing. Each optical vibration sensor comprises a diffractive optical element; a light source arranged to illuminate the diffractive optical element such that a first portion of light passes through the diffractive optical element and a second portion of light is reflected from the diffractive optical element; and a photo detector arranged to detect an interference pattern generated by said first and second portions of light. The optical vibration sensor is configured so that in use, after the first portion of light passes through the diffractive optical element, the first portion of light is reflected from a reflective surface onto the photo detector. The input device is placed in contact with a surface of a solid body, and an object is brought into physical contact with the surface of the solid body, thereby causing vibrations in the solid body. The vibrations are detected using two or more of the optical vibration sensors. The relative phase(s) of the vibrations are used to determine information regarding the point of contact of the object on the surface of the solid body.

In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system provides a programmatic interface, referred to herein in some embodiments as a foreign function interface, by which a user or third-party can define a service, functional and business types, semantic actions, and patterns or predefined complex data flows based on functional and business types, in a declarative manner, to extend the functionality of the system.

An electronic device, and a method for performing fingerprint sensing control on a display panel are provided. A sensing region of the display panel is divided into a plurality of fingerprint zones. The electronic device determines at least one target fingerprint zone from the fingerprint zones according to a touch location, wherein the fingerprint zones are coupled to a plurality of scanning groups, each of the scanning groups comprises one or more scanning lines, the at least one target fingerprint zone is coupled to a first scanning group and a second scanning group other than the first scanning group among the plurality of scanning groups. The electronic device scans the first scanning group with a first speed, and scans the second scanning group with a second speed higher than the first speed or skips scanning the second scanning group.

An electronic device, and a method for performing fingerprint sensing control on a display panel are provided. A sensing region of the display panel is divided into a plurality of fingerprint zones. The electronic device determines at least one target fingerprint zone from the fingerprint zones according to a touch location, wherein the fingerprint zones are coupled to a plurality of scanning groups, each of the scanning groups comprises one or more scanning lines, the at least one target fingerprint zone is coupled to a first scanning group and a second scanning group other than the first scanning group among the plurality of scanning groups. The electronic device scans the first scanning group with a first speed, and scans the second scanning group with a second speed higher than the first speed or skips scanning the second scanning group.