Dp Technologies, Inc.

Starfish Software, Inc.

Huawei Technologies Co., Limited

Lightsurf Technologies, Inc.

Motorola Corporation

Borland International, Inc.

Nokia Corporation

Verisign, Inc.

Intellisync Corporation

Syniverse Icx Corporation

Fullpower Technologies, Inc.

Fullpower, Inc.

Dp Technlogies, Inc.

Philippe Richard Kahn

Arthur Kinsolving

Mark Andrew Christensen

David Vogel

Brian Y Lee

Eric O Bodnar

Sonia Lee Kahn

Venkat V Easwar

Sonia Lee

Shekhar Kirani

Gwoho H Liu

Mihai Ionescu

Sean Brooks Harre

Gregor Paul Freund

William Swinton

Timothy Genske

Roy W Feague

Jennifer J Lee

Xiang Fu

David E Jorgensen

Brian Bodmer

Andrew Cotton-Clay

Colin McClarin Cooper

Michael Fairman

Kurt Philip Dammermann

Steven D Powell

Robin Goran Petravic

John S Baumgarten

Mark Tarantino

Paul Egli

Sethuraman Suresh

Qili Zhang

Paul Andrew Mietz Egli

John Michael Fitzgibbons

Panduranga R Rudraraju

Andrew Thomas Wallacker

Jin T Teh

Peter William Spaulding

Derek Conrad Keil

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 method and system to improve sleep quality. The system comprises a controller to control a temperature-controlled sleep surface, a temperature of the temperature controlled sleep surface adjusted, based on the user's sleep state and sleep quality, to improve the user's sleep quality. In one embodiment, the user's sleep state and sleep quality is determined based on data from monitoring system.

Sleep quality optimization using a controlled sleep surface

A method and apparatus to improve sleep aid efficacy are provided. The method comprises monitoring the sleeping patterns of a user utilizing a non-intrusive sleep monitoring device. The method further correlates the user's sleep quality and sleep quantity with use of the sleep aid. In one embodiment, the method adjusts the sleep aid based on the sleep statistics. The efficacy of sleep aids is increased by monitoring user's sleep patterns continuously.

Sleep monitoring and sleep aid usage

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 sleep sensing system comprising a sensor to obtain real-time information about a user, a sleep state logic to determine the user's current sleep state based on the real-time information. The system further comprising a sleep stage selector to select an optimal next sleep state for the user, and a sound output system to output sounds to guide the user from the current sleep state to the optimal next sleep state.

Optimal sleep phase selection system

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

Growing community of inventors

Santa Cruz, CA, United States of America

Philippe Richard Kahn