Abstract:
Methods, systems, computer-readable media, and apparatuses for remote patient monitoring and event detection are presented. For example, one method includes receiving, by a computing device via wireless communication, one or more sensor signals from a sensor associated with a patient; obtaining a patient condition based on the one or more sensor signals using a trained machine-learning (“ML”) model; and responsive to detecting an emergency condition based on the patient condition, providing an indication of the emergency condition.
Abstract:
Techniques are presented for detecting a visual marker. A first image containing the visual marker may be captured at a first time under a first lighting condition. A first image-based detection for the visual marker may be performed based on the first image, using a first detector, to produce a first set of results. A second image containing the visual marker may be captured at a second time under a second lighting condition different from the first lighting condition. Based on the first set of results, a second image-based detection for the visual marker may be performed based on the second image, using a second detector different from the first detector, to produce a second set of results.
Abstract:
Aspects presented herein may improve the performance of mobile/computer applications. Aspects presented herein may enable mobile/computer applications to differentiate entities that are associated with UEs or entities running the navigations applications, thereby enabling the mobile/computer applications (or their associated servers) to have a more accurate understanding of the conditions surrounding the UEs and their users. In one aspect, a network node obtains first information including at least one feature associated with a plurality of devices. The network node selects a first subset of the plurality of devices for a measurement based on the at least one feature associated with the plurality of devices (or the network node may exclude a second subset of the plurality of devices from the measurement).
Abstract:
Techniques are provided for utilizing wireless devices to detect and classify barriers between devices. An example method performed by a user equipment for authorizing a device-to-device request includes receiving a request from a wireless node, determining a first range measurement to the wireless node using a first positioning technique, determining a second range measurement to the wireless node using a second positioning technique that is different from the first positioning technique, and allowing or denying the request based on the first range measurement and the second range measurement.
Abstract:
Certain aspects of the present disclosure provide techniques and apparatus for performing mathematical operations on processing units based on data in the modulo space. An example method includes receiving a binary-space input to process (e.g., using a neural network or other processing system). The binary-space input is converted into a modulo-space input based on a set of coprimes defined for executing operations in a modulo space. A modulo-space result is generated through one or more modulo-space multiply-and-accumulate (MAC) units based on the modulo-space input. The modulo-space result is converted into a binary-space result, and the binary-space result is output.
Abstract:
In some aspects, a user device may receive, from a vision sensor of a user device, first image data associated with a first set of images. The user device may determine, using an image processing model, that a set of images depict a particular type of eye activity of an eye of a user. The user device may cause, based at least in part on determining that the first set of images depict the particular type of eye activity, a power level of a camera of the user device to be reduced.
Abstract:
Methods, systems, computer-readable media, and apparatuses for region-of-interest automatic gain or exposure control are presented. One example method includes receiving an image from an image sensor, the image comprising a plurality of pixels, determining a region of interest (“ROI”) in the image, the ROI comprising a subset of the plurality of pixels in the image, determining a ROI weight for pixels in the subset of the plurality of pixels, determining statistics for the image based on the plurality of pixels in the image and the ROI weight, and adjusting a gain or exposure setting for the image sensor based on the statistics.
Abstract:
Systems and methods are disclosed for recognizing a multi-component gesture within a sequence of image frames. A method comprises selecting a first object model as the selected object model, wherein the first object model corresponds to a first component of the multi-component gesture, receiving a frame in the sequence of frames and analyzing the frame to determine whether the frame includes a first object that matches the selected first object model, selecting a second object model as the selected object model, wherein the second object model corresponds to a second component of the multi-component gesture, receiving at least one subsequent frame and analyzing the at least one subsequent frame to determine whether the at least one subsequent frame includes a second object that matches the selected second object model, and recognizing that the multi-component gesture is present in the sequence of image frames.
Abstract:
A method of communicating by a Radio Frequency Identification (RFID) reader includes transmitting, by the RFID reader, a continuous radio frequency (RF) wave at a first frequency. The method also includes adjusting, by the RFID reader, the first frequency of the continuous RF wave to a second frequency and then receiving a backscattered RF wave at the first frequency from an RFID tag. The backscattered RF wave is generated by the RFID tag in response to the continuous RF wave of the first frequency. A difference between the first frequency and the second frequency is equal to or greater than a frequency difference threshold to reduce interference between the backscattered RF wave and the continuous RF wave.
Abstract:
Methods, systems, and devices are disclosed for configuring maximum allowed transmit power for wireless communications systems. Some embodiments treat multiple traffic types, such as voice traffic and data traffic, separately with respect to one or more maximum allowed transmit power limits. In some cases, at least first transmit power limit for at least a first traffic type and/or at least a second transmit power limit for at least a second traffic type may be determined. At least the first transmit power limit with respect to the first traffic type or the second transmit power limit with respect to the second traffic type may be utilized. Some embodiments are configured to utilize flexible bandwidth carriers.