Abstract: A method to test an asynchronous finite state machine for faults, the method including disabling state transitions out of a state of the asynchronous finite state machine and inputting test data to the AFSM to trigger a transition from the state to an expected state. The method further including enabling transitions out of the state of the asynchronous finite state machine, and determining whether the asynchronous finite state machine has performed a successful transition to the expected state.

Abstract: A device includes sensing circuitry, compression circuitry, and a memory. The sensing circuitry, in operation, generates sensor data. The compression circuitry is coupled to the sensing circuitry, and, in operation, determines environmental contexts based on variation rates of sensor data and compresses sensor data based on determined environmental contexts. The compressed data is stored in the memory.

Abstract: A device for monitoring the health state is made in a chip including a semiconductor die integrating an electric potential sensor and a cardiac parameter determination unit. The potential sensor is configured to detect potential variations on the body of a living being and associated with a heart rhythm and to generate a cardiac signal. The cardiac parameter determination unit is configured to receive the cardiac signal and determine cardiac parameters indicative of a health state. In particular, the cardiac parameter determination unit is configured to detect triggering events and to determine features of the cardiac signal in time windows defined by the triggering events. The die also integrates a decision unit, configured to receive the cardiac parameters and generate a health signal based on a comparison with threshold values. The cardiac parameters include heart rate and QRS-complex.

Abstract: System, method, and circuitry for utilizing sequential input inertial sensor data to calculate recursive features for training a machine learning algorithm or for classifying the data as a known class. The recursive feature values of a current data sample are calculating based on comparisons between the current data sample value and previous recursive feature values. The recursive features include a recursive maximum, recursive minimum, recursive peak to peak, recursive average, recursive root mean square, and recursive variance.

Abstract: Disclosed herein is a method including receiving multi-axis accelerometer data representing a potential step taken by a user of an electronic device. The method also includes determining whether the potential step represented by the multi-axis accelerometer data is a false. This determination is made by calculating statistical data from the multi-axis accelerometer data, and applying a decision tree to the statistical data to perform a cross correlation that determines whether the potential step is a false positive. If the potential step is not a false positive, a step detection process is performed to determine whether the potential step is a countable step and, if the potential step is found to be a countable step, a step counter is incremented.

Abstract: A device includes sensing circuitry, compression circuitry, and a memory. The sensing circuitry, in operation, generates sensor data. The compression circuitry is coupled to the sensing circuitry, and, in operation, determines environmental contexts based on variation rates of sensor data and compresses sensor data based on determined environmental contexts. The compressed data is stored in the memory.

Abstract: A sensor includes an accelerometer, which, in operation, generates accelerometer data, and digital signal processing circuitry. The digital signal processing circuitry, in operation, generates, based on the generated accelerometer data, a value indicative of a cosine of an angle between an acceleration vector associated with current accelerometer data and a reference acceleration vector, compares the generated value indicative of the cosine of the angle between the vector associated with current accelerometer data and the reference acceleration vector with one or more thresholds and generates a tilt signal based on the comparison of the generated value indicative of the cosine of the angle between the vector associated with current accelerometer data and the reference acceleration vector with the one or more thresholds. The tilt signal may be used as an interrupt signal to an application processor.

Abstract: A MEMS inertial sensor device has a package and a gyroscopic sensor, an accelerometric sensor, and an ASIC electronic circuit integrated within the package. The ASIC is operatively coupled to the gyroscopic sensor and the accelerometric sensor for supplying at an output a gyroscopic signal indicative of an angular velocity and an acceleration signal indicative of an acceleration acting on the MEMS inertial sensor device. The ASIC is provided with a processing module, which may be of a purely hardware type, for processing jointly the gyroscopic signal and the accelerometric signal and determining a bias value present on the gyroscopic signal.

Abstract: An integrated device on a chip includes an environmental sensor, one or more processing cores coupled to the environmental sensor, and a memory coupled to the one or more processing cores. An interface is coupled to the one or more processing cores. At least one of the processing cores includes an arithmetical floating-point circuit. In operation, the arithmetical floating-point circuit executes instructions to process sensor data received from the environmental sensor by the one or more processing cores. The processing core calculates environmental results information based on the processed sensor data, and provides the calculated environmental results information via the interface.

Abstract: A system includes a multi-conductor bus, a master device coupled to the multi-conductor bus, and at least one slave device coupled to the multi-conductor bus. The multi-conductor bus has a clock line and a data line. The master device is arranged to transmit an address configuration sequence, and the at least one slave device is arranged to configurably determine its own address based on at least one portion of the address configuration sequence. The at least one slave device has a physical address configuration input coupled to either a fixed voltage potential or a changing voltage potential. The at least one slave device is arranged with a first address during a pre-initialization state and arranged with a second address during a post-initialization state.

Abstract: An integrated data concentrator, so-called “sensor hub”, for a multi-sensor MEMS system, implements: a first interface module, for interfacing, in a normal operating mode, with a microprocessor through a first communication bus; and a second interface module, for interfacing, in the normal operating mode, with a plurality of sensors through a second communication bus; the sensor hub further implements a pass-through operating mode, distinct from the normal operating mode, in which it sets the microprocessor in direct communication with the sensors, through the first communication bus and the second communication bus. In particular, the sensor hub implements the direct pass-through operating mode in a totally digital manner.

Abstract: A sensor includes an accelerometer, which, in operation, generates accelerometer data, and digital signal processing circuitry. The digital signal processing circuitry, in operation, generates, based on the generated accelerometer data, a value indicative of a cosine of an angle between an acceleration vector associated with current accelerometer data and a reference acceleration vector, compares the generated value indicative of the cosine of the angle between the vector associated with current accelerometer data and the reference acceleration vector with one or more thresholds and generates a tilt signal based on the comparison of the generated value indicative of the cosine of the angle between the vector associated with current accelerometer data and the reference acceleration vector with the one or more thresholds. The tilt signal may be used as an interrupt signal to an application processor.

Abstract: A system includes a multi-conductor bus, a master device coupled to the multi-conductor bus, and at least one slave device coupled to the multi-conductor bus. The multi-conductor bus has a clock line and a data line. The master device is arranged to transmit an address configuration sequence, and the at least one slave device is arranged to configurably determine its own address based on at least one portion of the address configuration sequence. The at least one slave device has a physical address configuration input coupled to either a fixed voltage potential or a changing voltage potential. The at least one slave device is arranged with a first address during a pre-initialization state and arranged with a second address during a post-initialization state.

Abstract: Disclosed herein is a method including receiving multi-axis accelerometer data representing a potential step taken by a user of an electronic device. The method also includes determining whether the potential step represented by the multi-axis accelerometer data is a false. This determination is made by calculating statistical data from the multi-axis accelerometer data, and applying a decision tree to the statistical data to perform a cross correlation that determines whether the potential step is a false positive. If the potential step is not a false positive, a step detection process is performed to determine whether the potential step is a countable step and, if the potential step is found to be a countable step, a step counter is incremented.

Abstract: A system includes a multi-conductor bus, a master device coupled to the multi-conductor bus, and at least one slave device coupled to the multi-conductor bus. The multi-conductor bus has a clock line and a data line. The master device is arranged to transmit an address configuration sequence, and the at least one slave device is arranged to configurably determine its own address based on at least one portion of the address configuration sequence. The at least one slave device has a physical address configuration input coupled to either a fixed voltage potential or a changing voltage potential. The at least one slave device is arranged with a first address during a pre-initialization state and arranged with a second address during a post-initialization state.

Abstract: A signal interface has a compression unit and a data memory. The compression unit is configured to input an input datum from signal data generated by at least one sensor and further configured to identify the presence or absence of at least one repetition condition in the input datum. If the presence of the at least one repetition condition of the input datum is identified, the compression unit encodes the input datum in a compressed way to generate a compressed datum and saves the compressed datum in the data memory. If the presence of the at least one repetition condition of the input datum is not identified, the compression unit saves the uncompressed input datum in the data memory.

Abstract: A system includes a multi-conductor bus, a master device coupled to the multi-conductor bus, and at least one slave device coupled to the multi-conductor bus. The multi-conductor bus has a clock line and a data line. The master device is arranged to transmit an address configuration sequence, and the at least one slave device is arranged to configurably determine its own address based on at least one portion of the address configuration sequence. The at least one slave device has a physical address configuration input coupled to either a fixed voltage potential or a changing voltage potential. The at least one slave device is arranged with a first address during a pre-initialization state and arranged with a second address during a post-initialization state.

Abstract: A MEMS inertial sensor device has a package and a gyroscopic sensor, an accelerometric sensor, and an ASIC electronic circuit integrated within the package. The ASIC is operatively coupled to the gyroscopic sensor and the accelerometric sensor for supplying at an output a gyroscopic signal indicative of an angular velocity and an acceleration signal indicative of an acceleration acting on the MEMS inertial sensor device. The ASIC is provided with a processing module, which may be of a purely hardware type, for processing jointly the gyroscopic signal and the accelerometric signal and determining a bias value present on the gyroscopic signal.

Abstract: An integrated data concentrator, so-called “sensor hub”, for a multi-sensor MEMS system, implements: a first interface module, for interfacing, in a normal operating mode, with a microprocessor through a first communication bus; and a second interface module, for interfacing, in the normal operating mode, with a plurality of sensors through a second communication bus; the sensor hub further implements a pass-through operating mode, distinct from the normal operating mode, in which it sets the microprocessor in direct communication with the sensors, through the first communication bus and the second communication bus. In particular, the sensor hub implements the direct pass-through operating mode in a totally digital manner.

Abstract: An integrated data concentrator, so-called “sensor hub”, for a multi-sensor MEMS system, implements: a first interface module, for interfacing, in a normal operating mode, with a microprocessor through a first communication bus; and a second interface module, for interfacing, in the normal operating mode, with a plurality of sensors through a second communication bus; the sensor hub further implements a pass-through operating mode, distinct from the normal operating mode, in which it sets the microprocessor in direct communication with the sensors, through the first communication bus and the second communication bus. In particular, the sensor hub implements the direct pass-through operating mode in a totally digital manner.