In one aspect, a device includes at least one processor, a global positioning system (GPS) transceiver accessible to the at least one processor, a motion sensor accessible to the at least one processor, a cellular communication transceiver accessible to the at least one processor, and storage accessible to the at least one processor. The storage bears instructions executable by the at least one processor to provide directions to follow a route to a destination and to vary a rate at which the GPS transceiver communicates with at least one satellite for providing the directions.

In one embodiment, an apparatus (12) is presented that detects wireless signals from external devices (18) that uniquely identify each of the external devices, records, in memory (30), information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

A method is described of using the mobile device so as to control the drain of power from the power source of the mobile device, the mobile device having at least two location determination techniques having respective power drain characteristics, the method includes selecting the location determination technique having a lower power drain characteristic the greater the determined distance of the mobile device from a predetermined location or area, and selecting the location determination technique having the greater power drain characteristic the smaller the determined distance of the mobile device from a predetermined location or area. The method thus uses the least accurate technique when furthest away and the most accurate technique when closer to a predetermined location or area.

Techniques for watching a location of a device with respect to a destination target include obtaining a current location of a device from a localization operation, calculating an interval, and performing a next localization operation after the interval has expired. The interval may be calculated based on a velocity and a distance from the current location to a destination target. The techniques may also include calculating a displacement distance from the current location and adjusting the interval based on the displacement distance to thereby adjust a time for performing the next localization operation. The techniques may include performing state detection to determine a motion state of the device and performing the next localization operation based on the determined motion state.

A system for providing real-time always-on location is presented for maintaining the current location of a mobile device, while saving the battery by managing the GPS in a power-saving mode while the device is considered to be stationary. The system also provides a real-time location in an indoor environment where a GPS signal may not be available. Additionally, methods for driving detection are also presented.

A portable electronic device and a positioning method are provided, so as to improve positioning precision. The portable electronic device includes: a processor, configured to determine a first scan interval; and a transceiver, configured to receive a beacon signal by using the first scan interval as an interval. The processor is further configured to: obtain a first positioning result according to received signal strength of beacon signals received by a receiver in m continuous first scan intervals, and determine an average quantity of scans according to the first positioning result; the transceiver is further configured to: when the average quantity of scans is greater than a preset value, receive a beacon signal by using an increased second scan interval as an interval; and the processor is further configured to obtain a second positioning result according to received signal strength of beacon signals received in p continuous second scan intervals, where m and p are integers greater than 1. The scan interval is adjusted according to the average quantity of scans, so that positioning precision is improved.

A satellite radio wave receiving device including: one or more controllers configured to: continually perform calculation of a current location based on radio waves from positioning satellites received by a receiver; determine whether an action state of the satellite radio wave receiving device detected by an action detection sensor has changed to a stop state; in response to determining that the action state of the satellite radio wave receiving device has changed to the stop state, interrupt the calculation of the current location by causing the receiver to interrupt reception of the radio waves; and cause an output device to perform an interruption notification operation for notifying that the calculation of the current location is being interrupted.

An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.

A vehicle, a vehicle parking assist system, and a parking method, is provided. A powertrain and a steering system may be operated to guide the vehicle into a parking location to complete a drive cycle based on a default tire radius, a tire angular velocity acquired during a drive cycle in response to a steering angle of the steering system exceeding a threshold value, and wheel and GPS vehicle speeds for the drive cycle.

Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques, systems, and apparatuses are discussed herein for providing power-conserving techniques and systems for efficiently utilizing a GPS receiver are described. The positional fix frequency of the GPS receiver may, according to some implementations, be modified or adjusted between various levels according to data from one or more non-GPS sensors. Such non-GPS sensors may include, for example, ambient light intensity or spectrum sensors, accelerometers, gyroscopes, magnetometers, heart rate sensors, galvanic skin response sensors, infrared sensors, etc.