Patent application number | Description | Published |
20140214353 | METHOD TO DETERMINE A PRESSURE NOISE METRIC FOR FALL DETECTION SYSTEMS - A wearable fall-detection device has a variety of sensors, including a pressure sensor, that provide signals for sampling environmental conditions acting on the device. An average of pressure data samples is used to determine a resultant that may indicate an amount of noise in a pressure data signal, and statistical analysis of the noise and the pressure signal average may be used to determine a confidence estimate value that indicates a level of confidence in the amount of noise that a pressure signal is subject to, or includes. The confidence estimate and known fall data, such as change in pressure between a person standing and lying, can create a threshold function that may adapt according to sampled data thus providing a customizable (either statically or dynamically) threshold function for comparing sensor data against rather than comparing data with just a linear threshold function. | 07-31-2014 |
20150061863 | ADAPTIVE CLASSIFICATION OF FALL DETECTION FOR PERSONAL EMERGENCY RESPONSE SYSTEMS - Techniques described herein relate to the classification of fall events for PER (personal emergency response) devices. In one implementation, data relating to acceleration events that occurred at the PER devices may be received. The data relating to the acceleration events may be associated with indications of whether the acceleration events correspond to fall events of users of the PER devices. A classification model may be trained based on the data relating to the acceleration events and the indications of whether the data relating to the acceleration events corresponds to the fall events. The classification model may be transmitted to at least some of the PER devices to update a previous version of the classification model at the at least some of the PER devices. | 03-05-2015 |
20150145662 | USING AUDIO SIGNALS IN PERSONAL EMERGENCY RESPONSE SYSTEMS - A personal emergency response (PER) device may include an audio sensor that is used to enhance the operation of the PER device. The audio sensor may obtain audio data that can be used to verify whether a fall event that is detected by the PER device is a false positive signal and/or enhance the reliability of a detected fall event. In some implementations, the audio data may be used in the detection of vehicle crashes in which a user of the PER device is involved. | 05-28-2015 |
20150176989 | Accelerometer-Based Hill Angle Estimation - The embodiments disclosed are directed to systems and methods for determining the inclination of a surface beneath a vehicle. In some embodiments, a method uses an accelerometer to determine a final surface inclination value. The final surface inclination value can then be used to compensate for the acceleration of the vehicle caused by gravity. The method includes receiving accelerometer values from the accelerometer. The method also includes determining surface inclination values based on the accelerometer values. The method further includes storing the surface inclination values. And the method includes applying a digital filter to the stored surface inclination values to determine a final surface inclination value. | 06-25-2015 |
20150213555 | PREDICTING DRIVER BEHAVIOR BASED ON USER DATA AND VEHICLE DATA - A system may determine driving information associated with a group of users, the driving information may be based on sensor information collected by at least two of a group of user devices, a first group of vehicle devices connected to a corresponding group of vehicles associated with the group of users, or a group of second vehicle devices installed in the corresponding group of vehicles. The system may determine non-driving information associated with the group of users. The system may create a driver behavior prediction model based on the driving information and the non-driving information, and may store the driver behavior prediction model. The driver behavior prediction model may permit a driver prediction to be made regarding a particular user (e.g., a user that is not necessarily included in the group of users). The driver behavior prediction may be associated with a particular geographic location. | 07-30-2015 |
20150370251 | Method and system for drone deliveries to vehicles in route - A system comprise a server configured to communicate vehicle information with a vehicle transceiver of a vehicle moving along a vehicle route and communicate drone information with a drone transceiver of a drone moving along a drone route. A computing device with a memory and a processor may be configured to communicatively connect with the server, process the vehicle information and the drone information, identify a plurality of pickup locations based in part on the vehicle information and drone information, select at least one of the plurality of pickup locations based in part on a priority score associated with a travel time to or wait time for each of the plurality of pickup locations, and update the drone route based in part on the selected pickup location. | 12-24-2015 |
20160035150 | ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE - Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle. | 02-04-2016 |
20160036964 | DETERMINING THAT A USER IS IN A VEHICLE OR DRIVING A VEHICLE BASED ON SENSOR DATA GATHERED BY A USER DEVICE - A device may receive sensor data regarding a user device; and determine, based on the sensor data, that a user of the user device is in a vehicle or driving the vehicle. When determining that the user of the user device is in the vehicle or driving the vehicle, the device may compare the sensor data, received from the user device, with a reference dataset that includes reference data associated with users being present in or driving a vehicle, or determine that a value of a measurement, received as part of the sensor data, satisfies a threshold that is related to whether the user is in the vehicle or driving the vehicle. The device may output a particular control instruction to the user device based on determining that the user is in the vehicle or is driving the vehicle. | 02-04-2016 |