Stmicroelectronics S.r.l.

Stmicroelectronics Gmbh

Stmicroelectronics International N.v.

Other

Fondazione Istituto Italiano Di Tecnologia

Marco Bianco

Stefano Paolo Rivolta

Federico Rizzardini

Lorenzo Bracco

Alessandra Maria Rizzo Piazza Roncoroni

Roberto Mura

Paolo Rosingana

Mahesh Chowdhary

Daniele Arceri

Luca Fontanella

Andrea Labombarda

Massimo De Vittorio

Matteo Dameno

Michele Ferraina

Paolo Gatti

Ferruccio Pisanello

Mario Tesi

Leonardo Sileo

Marco Pisanello

Davide Ghezzi

Christian Raineri

Piergiorgio Arrigoni

Antonio Balena

Barbara Spagnolo

Filippo Pisano

A crash detection system includes first and second sensors and a processor. The processor receives first sensor data output by the first sensor, determines whether the first sensor data indicates a first class or a second class, outputs an enable signal to the second sensor if the first sensor data indicates the second class, receives second sensor data output by the second sensor after the enable signal is output, determines whether the second sensor data indicates a high acceleration value, determines whether the first sensor data indicates the first class within a predetermined amount of time after the second sensor data is determined to indicate the high acceleration value, and outputs a signal indicating a crash has occurred in response to determining that the first sensor data indicates the first class within the predetermined amount of time after the second sensor data is determined to indicate the high acceleration value.

In-sensor crash detection with motion sensors

The present disclosure is directed to human presence detection with an infrared sensor. The human presence detection utilizes signal regularization and edge detection to minimize the effect of drift on the human presence detection. The human presence detection is accurate regardless of changes in ambient temperatures.

Presence detection with signal regularization and edge detection

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.

Bag detection using an electrostatic charge sensor

A pointing electronic device is provided with: an inertial measurement module, to generate motion input data, indicative of motion of the pointing electronic device, at an input data rate; a pointing determination unit, to implement a pointing algorithm at a processing data rate based on the motion input data, to generate screen-frame displacement data corresponding to 3D-space movements of the pointing electronic device, the processing data rate being higher than the input data rate. The pointing electronic device is further provided with a rate upscaling unit, interposed between the inertial measurement module and the pointing determination unit, to implement a data-rate upscaling of the motion input data, to generate upscaled motion input data to be processed by the pointing determination unit at a data rate matching the processing data rate, via a predictive data reconstruction of missing samples based on the actual motion input data.

Predictive data-reconstruction system and method for a pointing electronic device

The present disclosure is directed to an air filter sensor system that can monitor a status of a filter and provide information to a remote system regarding the filter's status. The system can receive, by a computing server via one or more computer networks and from each of a plurality of sensor assemblies coupled to a corresponding plurality of air filters, information indicative of filter contamination levels respectively associated with each corresponding air filter of the plurality of air filters. Each of the respective filter contamination levels being provided by one sensor assembly of the plurality of sensor assemblies based at least in part on a difference in detected air pressure between first and second sides of the corresponding air filter. The system tracks the respective filter contamination levels over a first period of time and determines, by the computing server and based at least in part on the tracking of the respective filter contamination levels, a schedule for one or more maintenance events associated with a first air filter of the plurality of air filters.

Device and method for monitoring HVAC air filter

A method is provided for controlling an electronic apparatus on the basis of a value of a lid angle between a first hardware element accommodating a first magnetometer and a second hardware element accommodating a second magnetometer. The method includes acquiring, through the magnetometers, first signals representing an orientation of the hardware elements. A calibration parameter indicative of a condition of calibration of the magnetometers is generated on the basis of the first signals. A reliability value indicative of a condition of reliability of the first signals is generated on the basis of the first signals. A first intermediate value of the lid angle is calculated on the basis of the first signals. A current value of the lid angle is calculated on the basis of the calibration parameter, of the reliability value, and of the first intermediate value, and the electronic apparatus is controlled on the basis of the current value.

Electronic apparatus control method performed through lid angle calculation, electronic apparatus thereof and software product

A remote access device and methods of operation thereof are provided for accessing a physical object or location. The remote access device includes an accelerometer, a wireless transmitter, and control circuitry. The control circuitry causes the wireless transmitter to transition between a first operating mode and a second operating mode in response to receiving signals from the accelerometer indicating a first change in motion states of the remote access device. The control circuitry causes the wireless transmitter to transition between a first operating mode and a second operating mode in response to receiving signals from the accelerometer indicating a second change in motion states of the remote access device. The control circuitry further causes the wireless transmitter to transition between the first operating mode and the second operating mode in response to receiving signals from the accelerometer indicating a third change in motion states of the remote access device.

Three-level motion detector using accelerometer device in key fob application

A system for detecting and evaluating environmental quantities and events is formed by a detection and evaluation device and a mobile phone, connected through a wireless connection. The device is enclosed in a containment casing housing a support carrying a plurality of inertial sensors and environmental sensors. A processing unit is coupled to the inertial sensors and to the environmental sensors. A wireless connection unit, is coupled to the processing unit and a wired connection port, is coupled to the processing unit. A programming connector is coupled to the processing unit and is configured to couple to an external programming unit to receive programming instructions of the processing unit. A storage structure is coupled to the processing unit and a power-supply unit supplied power in the detection and evaluation device. The mobile phone stores an application, which enables a basicuse mode, an expert use mode, and an advanced use mode.

Device, system, method, and computer product for detecting and evaluating environmental quantities and events with modular approach and variable complexity

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.

Method, electronic device system and computer-readable medium for managing transitions between a plurality of power states of an electronic device based on sensor data indicative of a change in an angle between a plane of base portion of the electronic device and plane of a lid portion of the electronic device

A pointing electronic device is provided with: an inertial measurement module, to generate motion input data, indicative of motion of the pointing electronic device, at an input data rate; a pointing determination unit, to implement a pointing algorithm at a processing data rate based on the motion input data, to generate screen-frame displacement data corresponding to 3D-space movements of the pointing electronic device, the processing data rate being higher than the input data rate. The pointing electronic device is further provided with a rate upscaling unit, interposed between the inertial measurement module and the pointing determination unit, to implement a data-rate upscaling of the motion input data, in order to generate upscaled motion input data to be processed by the pointing determination unit at a data rate matching the processing data rate, via a predictive data reconstruction of missing samples based on the actual motion input data.

An embodiment inertial measurement system includes: at least one motion sensor to output motion data with an output data rate (ODR) period; and a control unit coupled to the motion sensor to control operation thereof based on a power mode switching, according to which each ODR period includes: a first phase, in which the motion sensor is controlled in a condition of low power consumption; and a subsequent measurement phase, in which the motion sensor is controlled to perform measurements for generation of measurement data. The control unit adaptively adjusts the duration of the ODR period based on at least one check related to the measurement data generated during the measurement phase.

Inertial measurement system with smart power mode management and corresponding smart power mode management method

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.

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Cesano Boscone, Italy

Marco Bianco