Dp Technologies, Inc.

Huawei Technologies Co., Limited

Fullpower Technologies, Inc.

Mark Andrew Christensen

Philippe Richard Kahn

Arthur Kinsolving

David Vogel

Brian Y Lee

Venkat V Easwar

Sonia Lee Kahn

Mihai Ionescu

Sean Brooks Harre

Andrew Cotton-Clay

Michael Fairman

Steven D Powell

Colin McClarin Cooper

Paul Andrew Mietz Egli

Peter William Spaulding

An electronic device monitors accelerations using a motion sensor. The electronic device determines a current motion state based on the accelerations. The electronic device identifies a plurality of applications that subscribe to a motion state identification service and notifies a subset of the applications of the current motion state, the subset meeting notification criteria associated with the current motion state.

Program setting adjustments based on activity identification

A sleep sensor system comprising a sensor to collect movement data from a sleeper on an adjustable bed, a receiver to send movement data from the sensor to a server. The sleep sensor system further comprising the receiver to receive command data from the server, a bed controller to transmit bed movement command data to the adjustable bed, to cause the adjustable bed to alter one or more settings.

Hardware sensor system for controlling sleep environment

A method of detecting the presence of a person on a bed comprising, receiving movement data in pseudo-real-time, extracting features from the movement data for a time period in pseudo-real-time, recording the user's on-bed and off-bed time segments, and determining a sleep schedule. The method further comprising utilizing a sleep engine to determine sleep stages for the user, and calculating sleep conditions. The method in one embodiment further comprising adjusting the bed when the sleep conditions indicate an event.

Sleep detection and analysis system

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

Program setting adjustment based on motion data

A hardware sensor system comprising a piezo sensor outputting charge data corresponding to a motion, an insulated cable from the piezo sensor to a receiver, to transmit the charge data, an insulated charge to voltage converter on the receiver, the insulated charge to voltage converter converting the charge data to voltage data, an analog-to-digital converter to convert the voltage data to digital data, and an uploader to upload the data to a server for processing.

Hardware sensor system for improved sleep detection

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

Devices, systems and methods that track various aspects of a person's sleep and environment to optimize one or more aspects of the user's environment and sleep conditions, quality and duration, together or alone, and help make the one or more users maintain and prolong his or her deep sleep status and improve the their sleep duration and quality.

Sleep ecosystem

A method comprising receiving data from a sleep sensor integrated in a mattress system, the sleep sensor coupled via a cord to a data collection unit, analyzing the data at the data collection unit, and providing results of the analyzed data to a user mobile device via a wireless connection, for display to the user.

Sleep surface sensor based sleep analysis system

A smart sleep system comprising a mattress including a plurality of pressure zones, each pressure zone separately adjustable for firmness, a sensor to sense a user's position on the mattress, a processing system to determine pressure for each of the plurality of pressure zones based on data from the sensor, and a controller to adjust one or more of the pressure zones based on the determination.

Multi-zone adjustable bed with smart adjustment mechanism

A sleep sensor system comprising a sensor to collect movement data from a sleeper on an adjustable bed, a receiver to send movement data from the sensor to a server. The sleep sensor system further comprising the receiver to receive command data from the server, a bed controller to transmit bed movement command data to the adjustable bed, to cause the adjustable bed to alter one or more settings, and an IoT controller to transmit IoT command data to an IoT device to cause the IoT device to take an action.

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.

Growing community of inventors

Santa Cruz, CA, United States of America

Mark Andrew Christensen