Abstract: A urine analyzer device, configured to be installed in a toilet bowl, to be used several times, the device comprising a holder member, to attach the device to the rim of the toilet bowl, an electronic unit, enclosed in a housing, a urine reception area, with at least one electro-chemical sensor, configured to measure a quantity of at least one substance contained in urine, such as physiological compound or chemical component, a wireless coupler to send resulting data to a remote computing device, wherein the electro-chemical sensor comprises at least a ion selective Field Effect Transistor (ISFET), configured to sense levels of one or more physiological ions, thereby providing a urine analyzer device, readily available at home, simply installed in a toilet bowl, and that can be used several times subsequently.

Abstract: A urine analyzer device, configured to be installed in a toilet bowl, to be used several times, the device comprising a holder member, to attach the device to the rim of the toilet bowl, an electronic unit, enclosed in a housing, a urine reception area, with at least one electro-chemical sensor, configured to measure a quantity of at least one substance contained in urine, such as physiological compound or chemical component, a wireless coupler to send resulting data to a remote computing device, wherein the electro-chemical sensor comprises at least a ion selective Field Effect Transistor (ISFET), configured to sense levels of one or more physiological ions, thereby providing a urine analyzer device, readily available at home, simply installed in a toilet bowl, and that can be used several times subsequently.

Abstract: The method for calculating the activity of a user, said method being implemented by a personal activity monitor intended to be securely associated with the body of the user, and by a smartphone equipped with a geolocation function, exchanging data over a wireless connection, the method comprising the steps of: -a- the activity monitor detects and counts the steps of the user, -b- the smartphone determines a first geolocation at a first time, -c- the smartphone determines a second geolocation at a second time, -d- one of the two devices calculates a distance traveled between the two geolocations, -e- one of the two devices calculates, based on the distance traveled and the number of steps taken between the two geolocations, the average stride and/or average step of the user.

Abstract: The present invention relates to a method of associating at least one state in a plurality of states to a new value output by a drifting sensor, the method comprising: /a/ receiving a signal from the sensor, said signal comprising a plurality of values; /b/clustering the values of said signal into a number of clusters equal to the number of the plurality of states, each cluster being associated with a respective state in the plurality of states; /c/ for the new value of the signal, associating at least one state in said plurality of states or a probability rating representing the probability to be associated with one state in said plurality of states for said new value of the signal, the associated state or the associated probability rating being determined based on at least distances (dH, dL) of said new value of the signal to respective clusters.

Abstract: A method implemented in a video monitoring system comprising a video camera, a server one or more portable electronic device such as a smartphone or tablet, the method comprising: a—capturing images and determine content change, b—calculate an activity level, with a content change index and a noise index, c—calculate an image storing rate, d—store, at storing rate, time-stamped images, e—transmit time-stamped images to the server, f—build, at the server, a video sequence forming a summary of a predefined past period of time, to be displayed, upon user demand, on the portable electronic device.

Abstract: A sleep assist system to monitor and assist the user's sleep, comprising a bedside device positioned near the user's bed, the bedside device comprising a loudspeaker and a light source and optionally a microphone, a light sensor, a temperature sensor, a control unit, an air quality sensor, a display unit, a user interface. The sleep assist system further comprises a first sensing unit positioned in the user's bed and comprising one or more sensors adapted to sense at least pressure and/or changes in pressure exerted by the user lying in the bed. The system monitors the user's sleep, assesses the user's sleep cycles and the phase of sleep cycle, and provides the user with at least one light and sound program, the light and sound program being based on the assessment of the user's sleep cycles and the phase of sleep cycle.

Abstract: A strap watch with a first hand normally indicating the hours, a second hand normally indicating the minutes, where appropriate an additional hand, at least one accelerometer, and an electronic control unit which is configured so that it normally causes the time to be indicated by the hands, calculates at least one individual activity amount representative of a physical activity of the user based on information collected by the accelerometer, and displays the activity amount by means of at least one of the hands, whereby the user can very simply view one or more amount(s) relating to his or her physical activity on a compact and conventional analog watch interface.

Abstract: Hairstyling tool of the comb or hairbrush type, comprising a handle and a body, an electric battery a force sensor, an electronic unit configured to capture and format signals provided by the sensors, a wireless communication means for transmitting data to a remote entity, by means of which information about the movements executed by the tool and the forces it undergoes can be transmitted to the remote entity, the remote entity being able to send information back to the user of the tool about the hair being styled.

Abstract: A method to monitor a data of interest of an individual (U) and give advice to said individual, said method comprising: a—collect said data of interest and a plurality of life parameters, b—monitor the evolution over time of said data of interest, c—detect an unexpected/inadvertent deviation in the evolution of data of interest, forming a break event, occurred at a first instant (T1), d—store the previously collected values of the plurality of life parameters over a first time window preceding said break event, to form a reference values collection of life parameters, attached to said individual and to the break event, and later: e—collect over time, the values of the plurality of life parameters, f—compare said lately collected values of life parameters to the reference values collection of life parameters stored, and if they are similar, give a notice to the user, whereby the user can be warned of a possible imminent deviation related to the data of interest.

Abstract: A method implemented in a system which comprises a lightweight personal wearable monitoring device, supplied by a battery, comprising an accelerometer, a processing unit, a display, a remote server, said method comprising the steps: /a/ collecting, from a plurality of individuals caused to practice various physical activities from a set of predefined activities, acceleration data from sensing devices placed on each of said individuals, /b/ defining N small data-size specific metrics, computed from acceleration signals, which allow to define a global activity classifier, /c/ acquiring, at a first monitoring device worn by a first user, acceleration signals from the accelerometer of the first monitoring device, /d/ calculating, at the first monitoring device, over each lapsed time unit T1, specific metrics values from the sensed signals, to form a series of specific metrics values, /e/ send them to the processing unit, /f/ allocate an activity type for each time unit together with corresponding specific metric

Abstract: A weighing device, configured to measure at least the weight of a person or an object, comprising a control unit, a sensory plate, a top plate, spacer pads, interposed between the plates, wherein the sensory plate has an emission transducer configured to generate, a burst of Lamb waves at the surface of the sensory plate, a reception transducer, to receive echoed Lamb waves propagated through the sensory plate, the temporal profile of the echoed Lamb waves being dependent on the weight applied to the top plate and passed by the spacer pads to the sensory plate, wherein the control unit determines the weight applied to the top plate by analysis of the temporal profile of the echoed Lamb waves.

Abstract: A thermometer device for temporal artery area measurement, configured to be used in a skin-touching stationary position, comprising an elongated body and a front portion having an end border arranged on a sensing plane (P), an array of N infrared sensors, with N greater than 8, a sensing region (SR) extending in the sensing plane over an area denoted SRA, at a distance denoted LF from a plane P2 containing the infrared sensors, the sensing region being encompassed within the border of the front end, an optical lens, interposed between the infrared sensors and the sensing region, to deviate light rays, wherein LF2<K×SRA, with K=3.

Abstract: A method for determining the weight of an entity/item to be weighed on a weighing device (1), the weighing device comprising at least a weight sensor and a control unit (4), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F0), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX?MIN with regard to a parametrized Threshold (T), /e/ if MAX?MIN is greater than Threshold (T), repeat steps /a/ to /d2/, and as soon as MAX?MIN is less than Threshold (T), output a

Abstract: A weighing device, configured to measure at least the weight of a person or an object, comprising a control unit, a sensory plate, a top plate, spacer pads, interposed between the plates, wherein the sensory plate has an emission transducer configured to generate, a burst of Lamb waves at the surface of the sensory plate, a reception transducer, to receive echoed Lamb waves propagated through the sensory plate, the temporal profile of the echoed Lamb waves being dependent on the weight applied to the top plate and passed by the spacer pads to the sensory plate, wherein the control unit determines the weight applied to the top plate by analysis of the temporal profile of the echoed Lamb waves.

Abstract: A urine analyzer device, configured to be installed in a toilet bowl, to be used several times, the device comprising a holder member, to attach the device to the rim of the toilet bowl, an electronic unit, enclosed in a housing, a urine reception area, with at least one electro-chemical sensor, configured to measure a quantity of at least one substance contained in urine, such as physiological compound or chemical component, a wireless coupler to send resulting data to a remote computing device, wherein the electro-chemical sensor comprises at least a ion selective Field Effect Transistor (ISFET), configured to sense levels of one or more physiological ions, thereby providing a urine analyzer device, readily available at home, simply installed in a toilet bowl, and that can be used several times subsequently.

Abstract: An interaction method between a graphic tactile device such as a smartphone and a timepiece having at least two analog-type physical pointers is disclosed. Each of the pointers is controlled independently by a stepper motor and referenced relative to a ref-position. The timepiece comprises a control unit configured to handle time count and to control stepper motors. The smartphone has a value setting interface, and the timepiece and the smartphone communicate through a wireless remote short-range communication link. The method comprises the steps of initiating a calibration procedure, causing the minute pointer to be moved to the ref-position via the value setting interface, causing the hour pointer to be moved to the ref-position via the value setting interface, and ending the calibration procedure, and return to a normal time display, Thereby, starting from an initial unknown pointer positions, the control unit of the timepiece can accurately know the positions of pointers.

Abstract: A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold deno

Abstract: A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold deno

Abstract: A method for determining the weight of an entity/item to be weighed on a weighing device (1), the weighing device comprising at least a weight sensor and a control unit (4), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F0), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX?MIN with regard to a parametrized Threshold (T), /e/ if MAX?MIN is greater than Threshold (T), repeat steps/a/ to /d2/, and as soon as MAX?MIN is less than Threshold (T), outpu

Abstract: A method implemented in a system which comprises a lightweight personal wearable monitoring device, supplied by a battery, comprising an accelerometer, a processing unit, a display, a remote server, said method comprising the steps: /a/ collecting, from a plurality of individuals caused to practice various physical activities from a set of predefined activities, acceleration data from sensing devices placed on each of said individuals, /b/ defining N small data-size specific metrics, computed from acceleration signals, which allow to define a global activity classifier, /c/ acquiring, at a first monitoring device worn by a first user, acceleration signals from the accelerometer of the first monitoring device, /d/ calculating, at the first monitoring device, over each lapsed time unit T1, specific metrics values from the sensed signals, to form a series of specific metrics values, /e/ send them to the processing unit, /f/ allocate an activity type for each time unit together with corresponding specific metric