Dp Technologies, Inc.

Lightsurf Technologies, Inc.

Verisign, Inc.

Sonia Lee Kahn

Philippe Richard Kahn

Arthur Kinsolving

Mark Andrew Christensen

Venkat V Easwar

Eric O Bodnar

Shekhar Kirani

An under-mat to be positioned under an exercise mat, to make the exercise mat a smart mat. The under-mat including a plurality of sensors to monitor a user's health data, while the user is performing exercises, and to provide data to the user.

Monitoring exercise surface system

The present system ensures that external noise sources do not taint sensor data recorded about a user's sleep parameters, to reduce false positives and false negatives, and provides a more accurate record of the user's sleep sounds, by cycling on and off noise sources. Additionally, the present system, in one embodiment, may be used to track changes in sound patterns from the user and from the environment. This may lead to early warning of health issues, as well as issues with the devices in the bedroom.

Determination of sleep parameters in an environment with uncontrolled noise sources

A meditation system comprising a meditation surface including a contactless bio-sensor and a processor to analyze data from the contactless bio-sensor, to determine meditation results including a user's respiration, heart rate, and meditation quality, the processor further to calculate a recommendation to the user based on the meditation results. The system further comprising a user interface to display the meditation results and the recommendation.

Connected AI-powered meditation system

A compliance and effectiveness tracking engine system including a sensor system to obtain sensed sleep data for a sleep session for a user, and a user interface implementing a user data acquisition system to obtain perceived sleep data from the user after the sleep session. The system further includes a server system implementing a predictive engine to predicted sleep data for the user, based on user background data and transactional data reflecting one or more medical interventions for the user. The server implementing a compliance and effectiveness tracking engine (CETE) to compare the sensed sleep data, the perceived sleep data, and the predicted sleep data, and to determine effectiveness of the one or more medical interventions for the user, and compliance with a protocol associated with the one or more medical interventions.

Sleep monitoring based compliance and effectiveness tracking engine

Detection of sleep sounds with cycled noise sources

A yoga under-mat to be positioned under an exercise mat, to make the exercise mat a smart mat. The yoga under-mat including a plurality of sensors to monitor a user's health data, while the user is performing exercises, and to provide data to the user.

A method and apparatus of using sleep monitoring is described. The method comprises monitoring the user's state using a plurality of sensors in a sensor system and detecting when the user is falling asleep. The method further comprises adjusting settings in an associated device in response to the user falling asleep.

System including a sleep detection mechanism

A method of providing an additional safety mechanism comprising enabling a setting up of a transaction using a mobile device, between a recipient and a provider, the transaction to be completed face-to-face, providing a wearable device, capable of connecting to the mobile device of the recipient and the mobile device of the provider, the wearable device used to identify an owner of the wearable device as the indicated provider. The method further comprising using the connection between the wearable device and the recipient mobile device to provide an authentication of the recipient to the provider.

Wearable device for improved safety

A method and apparatus of using sleep monitoring is described. The method comprises monitoring the user's state using a plurality of sensors in a sensor system and detecting when the user is falling asleep. The method further comprises turning off a wireless connection in the mobile device in response to the user falling asleep, such that the system does not synchronize between the mobile device and a display device while the user is asleep.

A digital imaging system is described that provides techniques for reducing the amount of processing power required by a given digital camera device and for reducing the bandwidth required for transmitting image information to a target platform. The system defers and/or distributes the processing between the digital imager (i.e., digital camera itself) and the target platform that the digital imager will ultimately be connected to. In this manner, the system is able to decrease the actual computation that occurs at the digital imager. Instead, the system only performs a partial computation at the digital imager device and completes the computation somewhere else, such as at a target computing device (e.g., desktop computer) where time and size are not an issue (relative to the imager). By deferring resource-intensive computations, the present invention substantially reduces the processor requirements and concomitant battery requirements for digital cameras. Further, by adopting an image strategy optimized for compression (compressed luminosity record), the present invention decreases the bandwidth requirements for transmitting images, thereby facilitating the wireless transmission of digital camera images.

Digital camera device and methodology for distributed processing and wireless transmission of digital images

A digital imaging system is described that provides techniques for reducing the amount of processing power required by a given digital camera device and for reducing the bandwidth required for transmitting image information to a target platform. The system defers and/or distributes the processing between the digital imager (i.e., digital camera itself) and the target platform that the digital imager will ultimately be connected to. The system only performs a partial computation at the digital imager device and completes the computation somewhere else, such as at a target computing device (e.g., desktop computer) where time and size are not an issue (relative to the imager). This image processing technique employs an efficient color conversion process, using a GUV color space. After an RGB mosaic (image) is captured, the image may be &ldquo;companded&rdquo; or quantized by representing it with less bits (e.g., companding from 10 bits to 8 bits). The image is then mapped from RGB color space to GUV color space, using an RGB-to-GUV transformation. Once converted into GUV color space, the image may now be compressed, for instance using wavelet transform-based compression, and then transmitted, using wireless or wire-line transfer, to a target platform (e.g., desktop or server computer). At the target platform, the GUV information may be restored in a non-compressed format and then further processed into a desired representation (e.g., standard format, such as JPEG). In this fashion, the GUV-based methodology avoids the inefficiency of remaining in RGB color space and avoids the computational complexity of converting to YUV color space, yet retains the benefits associated with YUV color space (e.g., de-correlation of image information).

Growing community of inventors

Santa Cruz, CA, United States of America

Sonia Lee Kahn