Abstract: Hybrid positioning methods and electronic apparatuses are provided. A representative method includes: obtaining initial location information; computing initial moving information based upon the sensor readings; computing estimated location information based on the initial moving information and the initial location information; acquiring geographical location readings if a location update condition is satisfied; generating reference location information based on the geographical location readings acquired; comparing the estimated location information with the reference location information to obtain a deviation information; computing a calibrated moving information based on the estimated location information and the deviation information; and computing a calibrated location information based on the deviation information, calibrated moving information and the estimated location information.

Abstract: A representative method involves: generating measured angular velocities and measured axial accelerations; calculating a resulting deviation associated with movements and rotations in a spatial reference frame by: providing a previous quaternion corresponding to time T?1 based on the measured axial accelerations corresponding to time T?1 and the measured angular velocities corresponding to time T?1; converting the measured angular velocities corresponding to time T based on the previous quaternion into a current quaternion and predicted axial accelerations; comparing the predicted axial accelerations with the measured axial accelerations corresponding to time T to obtain a first comparison result; obtaining an updated quaternion associated with time T based on the current quaternion and the first comparison result, and using the updated quaternion as a next occurrence of the previous quaternion; and providing the resulting deviation based on the updated quaternion; and, providing content based on the resultin

Abstract: Systems and methods for facilitating exercise monitoring are provided. A representative method includes: using a processor, having processor circuitry, to: compute an orientation change of the single wearable device based on the motion readings; determine a current training type and a target status associated with the current training type based on the schedule of training types; select one of the computing models associated with the current training type; compare the set of matching orientation changes corresponding to the current training type and the orientation change of the single wearable device with respect to a determination threshold corresponding to the current training type until the target status associated with the current training type has been attained; and compute an exercise amount associated with the current training type based on the target status attained.

Abstract: Methods and mobile devices with electric vehicle transportation detection are provided. A representative method includes: determining whether GPS locations, based on GPS signals from a GPS receiver, are indicative of the mobile device moving; receiving the acceleration signals from the accelerometer; determining a first step distance over a first time span based on the acceleration signals and the GPS signals; determining a second step distance over a second time span based on the acceleration signals and the GPS signals, the second time span being subsequent to the first time span; and determining whether the first step distance and the second step distance correspond to a predetermined step-distance threshold such that, if both of the first step distance and the second step distance correspond to the predetermined step-distance threshold, the processor sets the status of the mobile device to the in-moving-vehicle status.

Abstract: Electronic devices and methods for providing location information are provided, of which a representative method includes: generating sensor readings corresponding to sensed motion of the electronic device; determining a reference location information; computing a GPS-fused location information based on the reference location information and the sensor readings; generating a GPS-required event based on a change of the GPS-fused location information; generating a GPS-not-required event responsive to the reference location information being determined; receiving the GPS-fused location information and one of either the GPS-required event or the GPS-not-required event; responsive to the GPS-required event being received, operating the GPS receiver in a location information-acquiring mode during which the GPS receiver generates geographical location readings; and responsive to the GPS-not-required event being received, operating the GPS receiver in a power-saving mode during which the GPS receiver is deactivated.

Abstract: An electronic device utilizing a nine-axis motion sensor module, capable of accurately outputting a resultant deviation including deviation angles in a 3D reference frame is provided. The present invention provides a novel comparison and compensation to accurately obtain a resultant deviation including deviation angles of the electronic device under the presence of external and/or internal interferences including the ones caused by undesirable electromagnetic fields and the ones associated with undesirable external forces and axial accelerations.

Abstract: Hybrid positioning methods and electronic apparatuses are provided. A representative method includes: obtaining initial location information; computing initial moving information based upon the sensor readings; computing estimated location information based on the initial moving information and the initial location information; acquiring geographical location readings if a location update condition is satisfied; generating reference location information based on the geographical location readings acquired; comparing the estimated location information with the reference location information to obtain a deviation information; computing a calibrated moving information based on the estimated location information and the deviation information; and computing a calibrated location information based on the deviation information, calibrated moving information and the estimated location information.

Abstract: A method and apparatus for performing motion recognition using motion sensor fusion and an associated computer program product are provided, where the method is applied to an electronic device. The method includes the steps of: utilizing a plurality of motion sensors of the electronic device to obtain sensor data respectively corresponding to the plurality of motion sensors, the sensor data measured at a device coordinate system of the electronic device, wherein the plurality of motion sensors includes inertial motion sensors; and performing sensor fusion according to the sensor data by converting at least one portion of the sensor data and derivatives of the sensor data into converted data based on a global coordinate system of a user of the electronic device, to perform motion recognition based on the global coordinate system, in order to recognize the user's motion.

Abstract: Methods of motion processing and related electronic devices and motion modules are provided. A representative method of motion processing of an electronic device, which incorporates a motion sensor and a processor, the motion sensor having sensor circuitry including a sensor clock, the processor having processor circuitry including a processor clock, includes: providing one or more samples, including at least one of an accelerometer sample or a gyroscope sample associated with the electronic device, by the motion sensor at a sampling rate according to the sensor clock; storing each of the one or more samples in a buffer of the motion sensor; fetching the samples in batches from the buffer, by the processor, at a polling rate; and performing, by the processor, a numerical integration according to the sensor clock based on the samples fetched from the buffer.

Abstract: Systems and methods for facilitating exercise monitoring are provided.

Abstract: Methods and devices with sensor time calibration are provided. A representative device incorporates: a motion sensor having sensor circuitry and a first clock, the motion sensor being configured to generate and store sensor data samples at a predefined output data rate according the first clock; and a microcontroller, having circuitry, coupled to the motion sensor and being configured to fetch, during a predefined average time span, a sequence of the sensor data samples from the motion sensor and calculate a total number of the sensor data samples fetched. The microcontroller is further configured to provide a calibrated output data rate based on the total number of sensor data samples fetched and a reference time span, corresponding to a time span during which the sensor data samples were stored at the predefined output data rate, provided by a second clock.

Abstract: Methods and mobile devices with electric vehicle transportation detection are provided. A representative method includes: determining whether GPS locations, based on GPS signals from the GPS receiver, are indicative of the mobile device moving; determining, based on a set of the magnetism signals from the magnetic sensor, whether the sensed magnetism corresponds to a predetermined magnetism threshold, if the GPS locations are not indicative of moving; and if the sensed magnetism corresponds to the predetermined magnetism threshold, setting a status of the mobile device to an in-moving-electric-vehicle status, and turning off the GPS receiver and the magnetic sensor.

Abstract: A method and apparatus for performing motion recognition using motion sensor fusion and an associated computer program product are provided, where the method is applied to an electronic device. The method includes the steps of: utilizing a plurality of motion sensors of the electronic device to obtain sensor data respectively corresponding to the plurality of motion sensors, the sensor data measured at a device coordinate system of the electronic device, wherein the plurality of motion sensors includes inertial motion sensors; and performing sensor fusion according to the sensor data by converting at least one portion of the sensor data and derivatives of the sensor data into converted data based on a global coordinate system of a user of the electronic device, to perform motion recognition based on the global coordinate system, in order to recognize the user's motion.

Abstract: The wearable device includes a case, a processor, a storage unit, a sensor, and a power supply. The processor, the storage unit, the sensor, and the power supply are disposed in the case. The storage unit is electrically connected to the processor, and a default value is saved in the storage unit. The sensor is electrically connected to the processor. The sensor is configured to output a sensing value, and the sensing value is saved to the storage unit. The power supply is electrically connected to the processor, the storage unit, and the sensor. The processor is configured to execute a wearable mode or a non-wearable mode after the default value is compared with the sensing value.

Abstract: Methods of motion processing and related devices are provided. A representative method includes: generating a plurality of first sensor samples; generating a plurality of second sensor samples at a sampling rate according a first clock signal; storing the second sensor samples in a first buffer; fetching the first sensor samples; fetching the second sensor samples in batches from the first buffer; merging the first sensor samples and the second sensor samples to form a sensing merged signal; storing the sensing merged signal in a second buffer; providing a first preset processing signal; and selectively performing a second preset processing according to the first preset processing signal.

Abstract: An electronic device is provided. The electronic device includes a motion sensor and a processor. The motion sensor is configured to perform a sampling at a sampling rate. In each sampling, the motion sensor generates a sample by sampling an angular velocity or an acceleration of the electronic device. The motion sensor is further configured to store each sample in a buffer of the motion sensor. The processor is coupled to the motion sensor and is configured to perform a polling at a polling rate. In each polling, the processor fetches a plurality of the samples from the buffer. The processor is further configured to perform a numerical integration based on the fetched samples.

Abstract: An electronic control apparatus including motion sensors is integrated in a portable electronic device to responsively control a media content stored in the portable electronic device, in response to motion sensor signals to flip, zoom, displace images/pages of the media content displayed on a display field of a display thereof. Accordingly, a responsive control method includes the steps of: presetting a first threshold angle; sensing an first rotation angle of the portable electronic device to send out a first rotation sensing signal as a rotation of a yaw, pitch or roll of a portable electronic device detected by a sensing module including motion sensors; and receiving the first rotation sensing signal to calculate and determine whether the first rotation angle is greater than the first threshold angle to responsively control a media content stored in an electronic control apparatus be flipped, zoomed or displaced when the first rotation angle is greater than the first threshold angle.

Abstract: An electronic device utilizing a nine-axis motion sensor module, capable of accurately outputting a resultant deviation including deviation angles in a 3D reference frame is provided. The present invention provides a novel comparison and compensation to accurately obtain a resultant deviation including deviation angles of the electronic device under the presence of external and/or internal interferences including the ones caused by undesirable electromagnetic fields and the ones associated with undesirable external forces and axial accelerations.

Abstract: A method and apparatus for performing motion recognition using motion sensor fusion and an associated computer program product are provided, where the method is applied to an electronic device. The method includes the steps of: utilizing a plurality of motion sensors of the electronic device to obtain sensor data respectively corresponding to the plurality of motion sensors, the sensor data measured at a device coordinate system of the electronic device, wherein the plurality of motion sensors includes inertial motion sensors; and performing sensor fusion according to the sensor data by converting at least one portion of the sensor data and derivatives of the sensor data into converted data based on a global coordinate system of a user of the electronic device, to perform motion recognition based on the global coordinate system, in order to recognize the user's motion.