Abstract: A smart seating system is described. In one embodiment, the smart seating system may be integrated into a chair or seat, or may be a cushion that is placed on a seat. In one embodiment, the smart seating system uses one or more sensors to monitor the user. In one embodiment, the sensors may be sufficiently sensitive to monitor the user's respiration and heart rate, as well as whether the user is sitting or not. In one embodiment, the smart seating system can be used to monitor a user's breathing and heart rate. The system may be used to control stress in an office environment, in one embodiment. In addition to controlling stress, the smart seating system may be used to coach users to more healthful behaviors.

Abstract: A method and apparatus to provide an extended band is described. The method comprises pairing a watch and a host device. The method further comprises monitoring a user's status with a plurality of sensors on the host device and/or the watch, and using the extended band to do one or more of: provide alerts to the user, based on the sensor data, control the extended band from one of the devices, and share data with third parties using the extended band.

Abstract: A method of managing a parking system comprising receiving a request for a parking location from a user of a mobile device, selecting an available spot, and guiding the user to the available spot. The method in on embodiment further comprises marking the parking location. In one embodiment, the user may also be given guidance back to the marked parking location.

Abstract: A method and apparatus to provide an extended band is described. The method comprises pairing a watch and a host device. The method further comprises monitoring a user's status with a plurality of sensors on the host device and/or the watch, and using the extended band to do one or more of: provide alerts to the user, based on the sensor data, control the extended band from one of the devices, and share data with third parties using the extended band.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus to provide an extended band is described. The method includes pairing a watch and a host device. The method further includes monitoring a user's status with a plurality of sensors on the host device and/or the watch, and using the extended band to do one or more of: provide alerts to the user, based on the sensor data, control the extended band from one of the devices, and share data with third parties using the extended band.

Abstract: A device comprising a motion context logic that receives data from at least one motion sensor is described. The motion context logic determines a user's motion context. Context based action logic manages the device based on the user's motion context.

Abstract: An exemplary mechanical watch has a face including an indicator of current time and one or more indicators of physical activity of a wearer of the mechanical watch. The watch further includes a mainspring to store energy and transfer the energy to a balance wheel and gear train to measure the passage of time, a rotor to rotate about a pivot point in response to movements of a wrist of the wearer of the mechanical watch, a rotor gear coupled to the rotor, and an activity-tracking wheel coupled to one of the one or more indicators of physical activity. Movement of the rotor causes the rotor gear to translate the movement of the rotor into winding of the mainspring and into an indication of physical activity of a wearer of the mechanical watch by causing or controlling rotation of the activity-tracking wheel.

Abstract: An exemplary mechanical watch has a face including an indicator of current time and one or more indicators of physical activity of a wearer of the mechanical watch. The watch further includes a mainspring to store energy and transfer the energy to a balance wheel and gear train to measure the passage of time, a rotor to rotate about a pivot point in response to movements of a wrist of the wearer of the mechanical watch, a rotor gear coupled to the rotor, and an activity-tracking wheel coupled to one of the one or more indicators of physical activity. Movement of the rotor causes the rotor gear to translate the movement of the rotor into winding of the mainspring and into an indication of physical activity of a wearer of the mechanical watch by causing or controlling rotation of the activity-tracking wheel.

Abstract: An mobile device to monitor human activity using multiple sensors comprising a processing unit to provide a first estimation user activity data based on data from a first sensor, the first estimation having a first accuracy estimation, and to provide a second estimation of user activity data based on data from a second sensor, the second estimation having a second accuracy estimation, and the processor to calculate the user activity statistic based on the first estimation and the second estimation, wherein the calculated user activity statistic is a result of a weighted combination of the first estimation and the second estimation.

Abstract: 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.

Abstract: An electronic device monitors accelerations using an inertial sensor. The electronic device identifies a current motion state based on the accelerations. The electronic device determines an application that subscribes to a motion state identification service and notifies the application of the current motion state.

Abstract: A method or apparatus for monitoring human activity using an inertial sensor is described. The method includes monitoring accelerations, and identifying a current user activity from a plurality of user activities based on the accelerations. In one embodiment, each of the plurality of user activities is associated with one of a plurality of types of periodic human motions that are detectable by the portable electronic device, and wherein the identification of the current user activity is made based on detecting two or more instances of the periodic human motion associated with the user activity. The method further includes counting periodic human motions appropriate to the current user activity.

Abstract: A method for monitoring human activity using an inertial sensor includes monitoring accelerations from an inertial sensor integrated into a garment. The accelerations are processed to determine one or more acceleration statistics, and transmit the acceleration statistics.

Abstract: A method comprises determining an idle sample value for a dominant axis of a device in an idle state. The method further comprises registering a motion of the device, and evaluating the motion. The method further comprises waking up the device when the analysis of the motion indicates a change in the dominant axis of the device and/or a level of acceleration beyond a threshold.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: A method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the inertial sensor, assigning a dominant axis, updating the dominant axis as the orientation of the inertial sensor changes, and counting periodic human motions by monitoring accelerations relative to the dominant axis.