Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a reader to 1) read an identifier from a three-dimensional (3D) System printed object that includes a storage element and 2) read a location of the 3D printed object within a build material bed. An extractor of the system extracts, based on the identifier, a post processing operation to execute on the 3D printed object. A controller of the system controls a post processing operation based on extracted post processing operation information and the location.

Abstract: In one example in accordance with the present disclosure, an additive manufacturing system is described. The additive manufacturing system includes a build material deposition device to form a plastically deformable three-dimensional (3D) object by depositing layers of a thermoplastic build material to form a body of the plastically deformable 3D object. The additive manufacturing system also includes a heat channel forming device to form heat channels within the plastically deformable 3D object which heat channels, responsive to an applied stimulus, are to soften adjacent regions of the body. The additive manufacturing system also includes a fusing system to selectively harden layers of thermoplastic build material to form the plastically deformable 3D object.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a reader to read an identifier associated with a part. An extractor of the system extracts, based on the identifier, sensor output data for the part. A transmitter of the system transmits a re-order request for the part based on the sensor output data.

Abstract: Examples are described herein for determining aggregate psychological states of multiple individuals. In various examples, sensor data indicative of affects of multiple individuals may be analyzed. Based on the analyzing, the multiple individuals may be partitioned into multiple distinct clusters of individuals. An aggregate psychological state of the individuals of a given cluster of the multiple distinct clusters of individuals may be determined. Data indicative of the aggregate psychological state may be transmitted to cause a computing device to render output that conveys the aggregate psychological state of the individuals of the cluster.

Abstract: Methods, systems, apparatus, and computer-readable media (transitory or non-transitory) are described herein for inferring psychological states. In various examples, data indicative of a measured affect of an individual may be processed using a regression model to determine a coordinate in a continuous space. The continuous space may be indexed based on a plurality of discrete psychological labels. In a first context, the coordinate in the continuous space may be mapped to one of a first set of the discrete psychological labels associated with the first context. In a second context, the coordinate in the continuous space may be mapped to one of a second set of the discrete psychological labels associated with the second context.

Abstract: An example system includes a plurality of biometric sensors. The system also includes a first classifier engine to produce a first latent space representation of a first signal from a first biometric sensor of the plurality of biometric sensors. The system includes a second classifier engine to produce a second latent space representation of a second signal from a second biometric sensor of the plurality of biometric sensors. The system includes an attention engine to weight the first latent space representation and the second latent space representation based on correlation among latent space representations. The system includes a final classifier engine to determine a characteristic of a user based on the weighted first and second latent space representations.

Abstract: An example system includes a plurality of biometric sensors to generate a plurality of signals. The system includes a feature engine to generate a plurality of feature vectors from the plurality of signals. The system includes a classifier engine to generate a plurality of decision vectors based on the plurality of feature vectors. The system includes an attention engine to weight the plurality of feature vectors and the plurality of decision vectors and determine a characteristic of a user based on the weighted feature and decision vectors.

Abstract: An example system includes an identification engine to determine production data associated with a three-dimensionally printed object. The system also includes an alignment engine to determine a placement of the three-dimensionally printed object relative to a display device. The system includes a rendering engine to generate an image including a visual representation of the production data. The rendering engine is to position the visual representation of the production data so that representations of data points in the production data will overlay corresponding portions of the three-dimensionally printed object upon displaying by the display device.

Abstract: A mixed reality presentation system may include a headwear to present virtual images to a person wearing the headwear and a main unit. The main unit may include sensors to sense a surrounding physical environment and position and orientation of the headwear, a virtual image generator and a transmitter. The virtual image generator is to generate the virtual images based on the sensed surrounding physical environment and the sensed headwear position and orientation. The transmitter is to transmit the generated virtual images to the headwear for presentation.

Abstract: Systems and methods are described herein for detecting connections between components, such as 3D-printed components, using RFID tags, readers, and/or writers. For example, an RFID reader may read an identification code from an RFID tag that is at least partially 3D-printed as part of a first 3D-printed component to verify the connection to a second 3D-printed component. In various examples, the RFID reader may detect different identification codes depending on whether the first 3D-printed component is correctly connected to the second 3D-printed component, incorrectly connected to the second 3D-printed component, and/or connected to the second 3D-printed component in the past.

Abstract: In various examples, a cognitive load of a user may be inferred. Motion sensor data indicative of head movement of the user may be generated with a motion sensor disposed adjacent a head of the user. The motion sensor data may be analyzed to infer a feature of a gait of the user. The user's cognitive load may be inferred based on the feature of the gait.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a body portion and a plurality of legs movably coupled to the body portion. The body portion is to rest on a backside of a hand of a user. Each one of the plurality of legs include a curved portion to fit between fingers of a user. Respective ends of the plurality of legs are to contact a palm of the user.

Abstract: An actuation device includes a controller that interfaces with a sensing module to cause the sensing module to be non-responsive to events of a class that exceed the threshold level of detectability. The controller may be triggered by a corresponding sensor interface to switch the sensing module to be responsive to events of the class that exceed the threshold level of detectability.

Abstract: An example system includes a microphone sensor for an electronic device and a chamber coupled to the microphone sensor. The chamber is to be selectively filled with a fluid or having a vacuum therein. When the chamber is filled with the fluid, sound waves are allowed to travel through the chamber to the microphone sensor, and fluid pressure in the chamber causes an indicator to be in a first position. When the chamber has a vacuum therein, sound waves are prevented from traveling through the chamber to the microphone sensor and the vacuum in the chamber causes the indicator to be in a second position different from the first position.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a display, a biometric sensor, and a processor. The display is to play content. The biometric sensor is to collect biometric data of an individual. The processor is communicatively coupled to the display and the biometric sensor. The processor is to calculate a level of cognitive load based on the biometric data and to adjust an amount of noise in the content based on the level of cognitive load of the individual.

Abstract: An input device for providing input to a computing device includes a hand-held controller movable across and above a work surface. The input device includes a mouse sensor positioned on or in the hand-held controller to sense two-dimensional (2D) translation data representing translational movement of the hand-held controller across the work surface, and a six degree of freedom (6DOF) sensor positioned on or in the hand-held controller to sense 6DOF data representing position and orientation of the hand-held controller above the work surface.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a reader to read an identifier associated with a part. An extractor of the system extracts, based on the identifier, a design file for the part. A modifier of the system receives user input modifying the design file and a transmitter transmits the modified design file for production of the part.

Abstract: An example communication device includes a camera to detect media. A processor is to link the detected media with a stored version of the detected media in a database. The processor is to instruct a printing device associated with a remote device to output a hardcopy of the stored version of the detected media.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a biometric sensor, a motion sensor, and a housing. The biometric sensor is to collect biometric data. The motion sensor is to detect movement of a finger of a user that is translated into motion or a control input in a virtual reality (VR) application. The housing is to enclose the biometric sensor and the motion sensor. The housing includes a mechanical coupling to attach to the finger of the user.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a scanner to read three-dimensional (3D) print information from a storage element to be embedded in a 3D printed object. The system also includes a controller. The controller 1) instructs an additive manufacturing device to form the 3D printed object based on the 3D print information stored in the storage element and 2) embeds the storage element into the 3D printed object.