Abstract: A wearable device (105) for sleep assistance includes at least one sensor (115) to detect one or several vital signs of a user of the wearable device, a memory (155) to store a set of sleep aid techniques, and an interface to receive a selection of a sleep aid technique from the set of sleep aid techniques. Each aid sleep technique includes instructions facilitating the user to fall asleep and is associated with a doze-off time estimated for the sleep aid technique to affect the user following the instructions. The wearable device also includes a processor to update the doze-off time based on the vital signs of the user, to determine, based on the updated doze-off time, a schedule for executing at least one predetermined action, and to execute the predetermined action according to the schedule.

Abstract: A method and system for providing charging information to a user of wearable device by predicting when a health sensor is needed most during the course of the day and cross-referencing that information with a user's personal calendar in order to determine the optimal time to charge the wearable device. Battery life of the wearable device may be monitored. Information may be stored in memory regarding sensor data detected by one or more sensors and associated with a time. One or more time slots may be identified during which the sensor data was lacking. The identified time slots may be compared against a calendar of available time to identify matching time slots. A next matching time slot may be determined, and a notification may be displayed on a display screen of the wearable device to recommend that the user charge the wearable device at the determined next matching time slot.

Abstract: A system for organizing perishable goods including: a storage device (80) to store perishable good requirements (82), loading dock parameters (86), and perishable good parameters (84) associated with the perishable goods; and a loading dock management system (90) coupled to the storage device. The loading dock management system including: a perishable good risk module (92) to determine a perishable good risk level for each perishable good in response to the perishable good parameters and the perishable good requirements; and a loading dock organizational module (94) to determine a loading dock notification in response to the perishable good risk level and the loading dock parameters.

Abstract: A system and method enabling a wearable device to control an Internet of Things device. The wearable device includes at least one sensor, a communications interface configured to transmit an action command to the Internet of Things device in response to a triggering event, and a processor configured to analyze sensor data and determine whether a triggering event has occurred. When a triggering event occurs, the wearable device transmits an action command to control the Internet of Things device.

Abstract: A system and method enabling a wearable device to control an Internet of Things device. The wearable device includes at least one sensor, a communications interface configured to transmit an action command to the Internet of Things device in response to a triggering event, and a processor configured to analyze sensor data and determine whether a triggering event has occurred. When a triggering event occurs, the wearable device transmits an action command to control the Internet of Things device.

Abstract: Systems and methods are presented for passive location of transmitters in which two or more receivers time stamp received signals from target transmitters and the time stamped data for each target signal of interest is isolated to identify a peak power time of arrival for the signal at each transmitter from which differential scan observation values are derived, and for each signal of interest a line of position curve is computed based on the differential scan observation value and corresponding receiver locations, and for each signal of interest an estimated target transmitter location is determined based on an intersection of two corresponding line of position curves.

Abstract: Systems and methods are presented for passive location of transmitters in which two or more receivers time stamp received signals from target transmitters and the time stamped data for each target signal of interest is isolated to identify a peak power time of arrival for the signal at each transmitter from which differential scan observation values are derived, and for each signal of interest a line of position curve is computed based on the differential scan observation value and corresponding receiver locations, and for each signal of interest an estimated target transmitter location is determined based on an intersection of two corresponding line of position curves.