Abstract: The present disclosure is directed to a device and method for detecting presence or absence of human speech. The device and method utilize a low-power accelerometer. The device and method generate an acceleration signal using the accelerometer, filter the acceleration signal with a band pass filter or a high pass filter, determine at least one calculation of the filtered acceleration signal, detect a presence or absence of a voice based on the at least one calculation, and output a detection signal that indicates the presence or absence of the voice. The device and method are well suited for portable audio devices, such as true wireless stereo headphones, that have a limited power supply.

Abstract: The present disclosure is directed to a wearable electronic device, such as a watch, that includes one or more optical sensors. In order to determine accuracy of measurements by the optical sensors, the device detects whether or not the optical sensors are in physical contact with the user's skin. The device detects a level of contact between the user's skin and the optical sensors based on electrostatic charge variation measurements, and generates a contact reliability index (CRI) based on the level of contact. Operation of the optical sensors are adjusted based on the CRI.

Abstract: The present disclosure is directed to a detection method of a first or second state of a foldable electronic device including a first and a second hardware element tiltable to each other and accommodating a first and a second electrode which are in contact with each other when the foldable electronic device is in the first state and at a distance from each other otherwise. The detection method includes: acquiring a first and a second charge variation signal indicative of environmental electric/electrostatic charge variations detected by the first and second electrodes; generating a differential signal indicative of a difference between the first and the second charge variation signals; generating, as a function of the differential signal, one or more feature signals; and generating, as a function of the one or more feature signals, a contact signal indicative of the first or second states of the foldable electronic device.

Abstract: A system includes inertial sensors and a GPS. The system generates a first estimated vehicle velocity based on motion data and positioning data, generates a second estimated vehicle velocity based on the processed motion data and the first estimated vehicle velocity, and generates fused datasets indicative of position, velocity and attitude of a vehicle based on the processed motion data, the positioning data and the second estimated vehicle velocity. The generating the second estimated vehicle velocity includes: filtering the motion data, transforming the filtered motion data in a frequency domain based on the first estimated vehicle velocity, generating spectral power density signals, generating an estimated wheel angular frequency and an estimated wheel size based on the spectral power density signals, and generating the second estimated vehicle velocity as a function of the estimated wheel angular frequency and the estimated wheel size.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or outside of the bag. The device determines whether the device is in or outside of the bag based on distance measurements generated by at least one proximity sensor and motion measurements generated by at least one motion sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or outside of the bag with high accuracy and robustness.

Abstract: The present disclosure is directed to pick-up state detection for an electronic device, such as a laptop. In a pick-up state, the device is picked or lifted up from a surface, such as a table. A power state of the device is adjusted in response to detecting the pick-up state. For example, the device is in a hibernate state while set on the table, and is switched to a working state in response to detecting the pick-up state.

Abstract: A system includes inertial sensors and a GPS. The system generates a first estimated vehicle velocity based on motion data and positioning data, generates a second estimated vehicle velocity based on the processed motion data and the first estimated vehicle velocity, and generates fused datasets indicative of position, velocity and attitude of a vehicle based on the processed motion data, the positioning data and the second estimated vehicle velocity. The generating the second estimated vehicle velocity includes: filtering the motion data, transforming the filtered motion data in a frequency domain based on the first estimated vehicle velocity, generating spectral power density signals, generating an estimated wheel angular frequency and an estimated wheel size based on the spectral power density signals, and generating the second estimated vehicle velocity as a function of the estimated wheel angular frequency and the estimated wheel size.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or outside of the bag. The device determines whether the device is in or outside of the bag based on distance measurements generated by at least one proximity sensor and motion measurements generated by at least one motion sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or outside of the bag with high accuracy and robustness.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: The present disclosure is directed to a detection method of a first or second state of a foldable electronic device including a first and a second hardware element tiltable to each other and accommodating a first and a second electrode which are in contact with each other when the foldable electronic device is in the first state and at a distance from each other otherwise. The detection method includes: acquiring a first and a second charge variation signal indicative of environmental electric/electrostatic charge variations detected by the first and second electrodes; generating a differential signal indicative of a difference between the first and the second charge variation signals; generating, as a function of the differential signal, one or more feature signals; and generating, as a function of the one or more feature signals, a contact signal indicative of the first or second states of the foldable electronic device.

Abstract: The present disclosure is directed to a device with enhanced human activity recognition. The device detects a human activity using one more motion sensors, and enhances the detected human activity depending on whether the device is in an indoor environment or an outdoor environment. The device utilizes one or more electrostatic charge sensors to determine whether the device is in an indoor environment or an outdoor environment.

Abstract: The present disclosure is directed to a device with enhanced human activity recognition. The device detects a human activity using one more motion sensors, and enhances the detected human activity depending on whether the device is in an indoor environment or an outdoor environment. The device utilizes one or more electrostatic charge sensors to determine whether the device is in an indoor environment or an outdoor environment. The device may also exclude gyroscope data when performing human activity recognition, and instead utilize electrostatic charge variation data in conjunction with acceleration data to perform human activity recognition.

Abstract: An electronic device has sensing circuitry and control circuitry. The control circuitry generates, based on generated sensor data, information indicative of movement of the electronic device. The control circuitry generates control signals to control operation of the electronic device in a plurality of power states, including a working-power state, an intermediate-power state and a low-power state, based on the information indicative of movement.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

Abstract: A device includes a charge variation sensor having at one or more electrodes. The charge variation sensor, in operation, generates a charge variation signal indicative of changes in an electric or electrostatic charge induced on the one or more electrodes by an alternating current power source. Processing circuitry, coupled to the charge variation sensor, generates a frequency spectrum signal based on the charge variation signal and identifies a frequency of operation associated with the alternating current power source based on the generated frequency spectrum signal. A control signal is generated based on the identified frequency of operation. An image acquisition device sets an image acquisition frequency based on the control signal.

Abstract: The present disclosure is directed to a device and method for detecting presence or absence of human speech. The device and method utilize a low-power accelerometer. The device and method generate an acceleration signal using the accelerometer, filter the acceleration signal with a band pass filter or a high pass filter, determine at least one calculation of the filtered acceleration signal, detect a presence or absence of a voice based on the at least one calculation, and output a detection signal that indicates the presence or absence of the voice. The device and method are well suited for portable audio devices, such as true wireless stereo headphones, that have a limited power supply.

Abstract: A device for generating a control signal based on the linear movement of a linear member is provided. The device includes a linear member, a rotatable member, a first inertial measurement unit (IMU) coupled to the rotatable member and a second IMU having a fixed position. The device also includes a processing circuit which uses sensing signals from the IMUS to determine an attitude of the first IMU referenced to the second IMU and generate a control signal based on the attitude.