The technology disclosed relates to coordinating motion-capture of a hand by a network of motion-capture sensors having overlapping fields of view. In particular, it relates to designating a first sensor among three or more motion-capture sensors as having a master frame of reference, observing motion of a hand as it passes through overlapping fields of view of the respective motion-capture sensors, synchronizing capture of images of the hand within the overlapping fields of view by pairs of the motion-capture devices, and using the pairs of the hand images captured by the synchronized motion-capture devices to automatically calibrate the motion-capture sensors to the master frame of reference frame.

A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

An electronic device is disclosed, which includes: a first substrate comprising a biometric sensing region and a non-sensing region; a biometric sensing module disposed corresponding to the biometric sensing region; a display layer disposed on the first substrate and comprising a plurality of conductive lines, wherein the display layer comprises a first display region corresponding to the non-sensing region and a second display region corresponding to the biometric sensing region, and the plurality of conductive lines in the first display region is different from the plurality of conductive lines in the second display region in density.

An electronic device is disclosed, which includes: a first substrate comprising a biometric sensing region and a non-sensing region; a biometric sensing module disposed corresponding to the biometric sensing region; a display layer disposed on the first substrate and comprising a plurality of conductive lines, wherein the display layer comprises a first display region corresponding to the non-sensing region and a second display region corresponding to the biometric sensing region, and the plurality of conductive lines in the first display region is different from the plurality of conductive lines in the second display region in density.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.