Electrodermal equipment

Abstract

The invention relates to an electrodermal device comprising at least two electrodes configured (10) to each be in contact with a dermal area, and an electronic circuit comprising an analog-to-digital converter and a processor configured to execute computer-executable instructions to polarize said electrodes (10), to measure the current flowing between pairs of electrodes (10), to apply digital preprocessing to the measured electrical signals, and to determine the conductance of the dermal layer, characterized in that said sensor further comprises an accelerometer, delivering electrical signals to said processor, said preprocessing taking into account the level of said signals delivered by said accelerometer. Figure 1

Description

Description Title of the invention: Electrodermal equipment Field of the invention The present invention relates to the field of measuring the galvanic response of the skin and electro-cutaneous activity, and in particular to portable devices and methods for measuring the electrodermal activity of a user's skin. Electrodermal activity is biological electrical activity recorded on the surface of the skin and reflecting the activity of the sweat glands and the autonomic nervous system and therefore, among other things, the individual's perception and involuntary behavior rather than a response they wish to give. The scientific study of the galvanic cutaneous reflex began in the early 1900s. The psychologist C.G. Jung was among the first to use its recording in psychoanalysis and he recounts this experience in his work "Studies in Word Analysis" published in 1906. Wilhelm Reich also studied the electrodermal response in experiments conducted at the Institute of Psychology at the University of Oslo in 1935 and 1936, with the aim of confirming the existence of a bio-electric charge behind his concept of "vegetative pleasure currents". In the 1960s and until the late 1970s, the psychogalvanic response was used in all areas of psychology for a wide variety of research. Psychogalvanic phenomena are linked to the activity of the sympathetic nervous system and manifest as a change in the skin's electrical resistance following an emotion. Since then, much work has focused on exploiting GSR (Galvanic Skin Response) or RED (electrodermal resistance) signals, which represent the variation in the skin's electrical resistance caused by the activity of sweat glands following sensory excitation, called the psychogalvanic reflex, for various applications such as lie detectors, emotion analysis, or the control of video games by new human-machine interfaces. State of the art Patent application EP2967415 describes an electrocutaneous activity measuring device comprising a first electrode in contact with a first part and a second electrode in contact with a second part of a stratum corneum. A processing module is electrically coupled to the electrodes and is actuable to (a) polarize the first electrode to a first voltage V+ and the second electrode to a second voltage V-, (b) measure a current flowing between the first electrode and the second electrode, the current corresponding to the conductance of the stratum corneum. (c) subtract a compensation current from the measured current, (d) measure a resulting current producing an amplified voltage output, (e) measure a conductance of the stratum corneum, and (f) adjust at least one of the first voltage, the second voltage and the compensation current to desaturate the output voltage. US patent application US20140275845A 1 describes an example of a physiological sensor worn on a single finger to capture one or more different physiological signals. The sensor body has two raised mounds protruding from its surface and spaced longitudinally to define a transverse air gap between them. Each mound retains electrodes that abut against the palmar surfaces of the single finger. The sensor also includes one or more physiological sensing devices housed within the body, including a skin conductance sensing device. The sensor may also have at least one of a temperature sensing device and a photoplethysmography sensing device. European patent EP1384436 describes an example of an impedance measurement system for measuring skin impedance in a small area of ​​skin, comprising: a set of electrodes to provide a constant current and a plurality of measuring electrodes separated from the current supply electrodes in order to to measure a skin response signal; a current source that supplies a constant current to the electrodes power supply; a signal processing unit that is connected to the measuring electrodes, receives the response signals generated in the skin in response to the current A constant applied signal generates a potential difference signal, suppressing the noise from the potential difference signal, and amplifies the difference signal potential freed from noise; a signal conversion unit that converts the difference signal from potential received from the signal processing unit from an analog format into a digital format; and an image display unit that converts the signal from digital potential difference in an image signal and displays the signal image. US patent US8308562B2 describes a solution for analyzing environmental and / or biological feedback associated with one or more player emotions in real time. The emotional feedback is provided to a gaming device used by the player, such as an electronic gaming machine (EGM). The gaming device uses the biological and / or environmental feedback to appropriately adjust the game to maximize the player's entertainment value. The game is designed for the player(s). The player(s) can be identified, and the game device matches the emotional response with certain game elements presented at that moment, associating this match with the identified player. These matches can be used to adjust the game device, the environments, and / or to take other actions. The game device can also store these matches, combined with any collected environmental and / or biometric stimuli, on a game or player tracking server database via the network. Prior environmental / biometric information can be used to make immediate adjustments to the game or environment, or incorporated into future game and environmental design. European patent EP3562398 also describes an emotion estimation device capable of estimating a subject's emotions without requiring a component to monitor external events. In a learning mode, the device generates regression equations to estimate emotional changes in a wakefulness and valence state by means of a multiple regression analysis, the monitoring data being information indicating the subject's emotion captured by means of an emotion capture device, and the variables being quantities of features obtained simultaneously by a measuring device from measurement data elements or from cardiac electrical activity (H), skin potential activity (G), eye movement (EM), movement (BM) and a quantity of activities (Ex) of the subject.The device estimates the subject's emotional changes using regression equations as well as changes in characteristic quantities of measurement data elements or cardiac electrical activity (H), skin potential activity (G), eye movement (EM), movement (BM) and quantity of activity (Ex) of the subject measured by the measuring device. The utility model CN201848002U describes another example of a solution for capturing galvanic response data from human finger skin for adjustment by controlling the progression of a game. Drawback Day 4, Prior art solutions are not entirely satisfactory because the dermo-galvanic signals are significantly disrupted by artifacts occurring at the interface between the sensors and the user's skin. When the user moves, the quality of the electrical connection changes, resulting in noisy data. Soluti l'i | To overcome these drawbacks, the present invention, in its most general sense, relates to electrodermal equipment, for example an electrodermal bracelet comprising at least two electrodes configured to each be in contact with a dermal area, and an electronic circuit including a converter analog-digital and a processor configured to execute computer-executable instructions to polarize said electrodes to measure the current flowing between pairs of electrodes, apply digital preprocessing to the measured electrical signals and determine the conductance of the dermal layer characterized in that said accessory further comprises an absolute motion accelerometer and absolute rotation gyroscope (IMU), delivering electrical signals to said processor, said preprocessing taking into account the level of said signals delivered by said accelerometer and gyroscope simultaneously. Advantageously, these electrodes consist of pads formed from a stamped and tinned sheet of steel. Optionally, at least one of said electrodes has a housing suitable for receiving an additional sensor. According to one variant, the electrodermal equipment also includes a temperature sensor. Advantageously, the temperature sensor is positioned on a separate, dedicated steel electrode or probe. The thickness of this dedicated probe is specifically designed to avoid excessive signal inertia and the loss of important micro-variations in monitoring emotional reactions. According to another variant, the electrodermal device also includes a heart rhythm sensor, preferably a heart rhythm sensor that delivers physiological signals by photoplethysmography (PPG). The heart rhythm sensor is positioned under a glass plate (PPG) and is not connected to the metallic electrode. Techniques applicable to the PPG signal include: techniques like SVD and ICA that only use a single PPG channel and therefore provide relatively "poor" information but can to be tested very quickly. Fourier Series Analysis with automatic determination of the number of coefficients to retain (as for the ICA) is an approximate technique. Wise but quite complex due to the noise induced by the movements which, in certain transitional circumstances, may be more powerful than the PPG signal. Periodic Moving Average Filter treatment can be effective but will introduce a lot of latency in the signal. Wavelet denoising is an effective alternative. to other methods. The "Active Noise Cancellation" technique, based on adaptive filtering, is the method that seems to me the most appropriate for our multimodal approach and can be combined with the Empirical Mode Decomposition to further improve the noise reduction. The invention also relates to a system comprising an electrodermal sensor according to at least one of the preceding variants and a computer delivering at least one numerical data point representative of an emotional state, characterized in that said computer executes a program controlling: The processing of the digital conductance data provided by said processor on a sliding time window, the result of which provides a Sarousal value Advantageously, it further comprises a processing step of said second series of heart rhythm signals consisting of bandpass filtering of frequencies between 0.04 and 0.26 Hz and peak detection and inter-peak time measurement RR, on said sliding time window, the result of which provides a Syatence- value Detailed description of a non-limiting example of the invention [fig.1] Fig.1 represents a perspective view of an electrode according to the invention. [fig.2] Fig.2 represents a partial view of a bracelet equipped with two sensors according to the invention. Hi Eriel The invention relates to a device for acquiring physiological signals via two (or more) electrodes in contact with a user's epidermis, and for using different types of signals to estimate a reliable emotional state, independent of artifacts such as user movements. The spacing between the electrodes is important and determined so that the amount of skin traversed by the signal is sufficient to obtain a usable signal. Typically, a spacing of 2 to 20 millimeters is suitable. The invention employs two metallic electrodes, of which [fig.1] is an example of a perspective view. An electrode is formed by stamping a sheet of stainless steel, for example INOX 316L, 0.5 mm thick, to form an electrical contact (10) 2 mm high, 11 mm long, and 8 mm wide, with a rectangular cross-section and rounded corners (1 to 4) with a radius of curvature of 1.5 mm. This contact is extended by a border (15) with a rectangular cross-section 1.5 mm wide, with rounded corners (11 to 13) and a radius of curvature of 3 mm. The radius of curvature of the edges is 0.3 mm. The border is drilled with holes (20) with a cross-section of 0.8 mm for attachment to a wrist strap or mounting plate. Semi-circular notches (5, 6) with a radius of 1.1 millimeters allow the passage of electrical cables. The outer surface of the electrode is in contact with the epidermis and allows, with a second electrode placed In the vicinity, the measurement of electrical conductivity observed on the surface of the user's skin provides a signal representative of electrodermal activity (EDA). The electrode (10) can optionally integrate a plurality of sensors intended to obtain measurements of physiological signals associated with the user's emotions, for example: - A sensor capable of measuring the user's heart rate via light formed in the metallic electrode, and a glass cover blocking said light. - A sensor capable of measuring the surface temperature of the skin, fixed to the base by thermal adhesive. - a sensor consisting of a three-axis or multi-axis accelerometer such as a 9-axis inertial module capable of measuring movements on a user's limb, for example a piezoelectric accelerometer or a three-axis MEMS accelerometer and a gyroscope (wrist rotation) The signals provided by the accelerometer are representative of the user's movements and can be used to filter physiological signals in order to eliminate transient signals during sudden movements that could alter electrical conduction or the positioning of the electrode on the skin. This noise-filtering functionality is particularly important when physiological signals are analyzed over a long time window, such as several seconds, because including abnormal signals would severely distort the evaluations produced by these time-domain analyses. Bracelet detail Figure 2 shows an example of mounting two electrodes (10), each 8 x 5 millimeters and 0.5 millimeters thick, transversely arranged 10 millimeters apart on a bracelet (30). The bracelet has a clasp (31) and a housing (32) for the electronic circuits. The assembly can be overmolded to ensure resistance to moisture and dust. The base of this housing has a temperature sensor (33) and an optical sensor (34) comprising a photodiode and LEDs for capturing signals related to blood circulation, such as heart rate and oxygen saturation. The electrodes are spaced and polarized by an electronic circuit implementing an LTC2487 ANALOG DEVICES (trade name) ADC converter circuit with two differential inputs, providing 16-bit sampling and a temperature compensation circuit.It is also possible to use the ADC of the Nordic nRF52 microcontroller, which allows for two signal modalities with the same components. This sensor measures skin resistance via two voltage dividers connected to the input of a differential analog-to-digital converter (ADC) from a common point, and also measures the voltage. induced by the variation in the resistance of the human body, typically between 500 and 300 Ohm. Sensors equipping the bracelet The bracelet (30) can be equipped with several sensors: a. A galvanic sensor using two electrodes (10) providing a signal "Glavanic skin response" sampled at 8 Hz, used by the computer to characterize the Arousal score and the level of vigilance b. A 3-axis accelerometer sampled at 64 Hz, used by the computer to characterize steps and falls c. A blood sensor (34) sampled at 50 Hz, processed by the computer to characterize the valence score, biometric recognition, rhythm heart rate and stress levels d. A temperature sensor (33) sampled at 1 Hz for measuring the body temperature. The bracelet includes a computer for preprocessing data which is then transmitted as digital packets via a radio frequency protocol by a radio module and an antenna. Trai i hantill Different types of treatment can be considered to provide emotional analyses. Fourier Series Analysis is a common solution, but it does involve a constraint related to the automatic determination of the number of coefficients to retain. This constraint is quite complex, as the noise induced by movement can be more powerful than the PPG signal without necessarily being continuous. However, using a denoising solution based on filtering the signals according to the information provided by the accelerometer reduces this difficulty. The sensor provides a signal representative of a passive or endosomatic parameter corresponding to the skin conductance level (SCL) or an active or exosomatic parameter corresponding to the skin conductance response (SCR). These parameters allow the determination of electrodermal activity (EDA), which originates from characteristics of the epidermal membrane, and from eccrine-type sweating activity under the control of the autonomic and central nervous systems. There are two methods of recording. The first method, called endosomatic, translates the potential differences generated by the skin membranes and leads to the measurement of the electrodermal potential. In this case, the sensor is a skin conductivity sensor associated with a current-to-voltage converter, for example a skin resistivity sensor, equipped with a pair of noble steel electrodes. The second method, known as exosomatic, translates the variations of a current applied to the skin, the characteristics of which can lead to the measurement of various electrodermal signals, including the measurement of skin conductance, the most commonly used in the literature. Each electrodermal signal is subdivided into a tonic component and a phasic component. The first identifies slow variations in the electrodermal signal, while the second corresponds to rapid variations in the signal, commonly called electrodermal responses. From these phasic measurements, various measurement parameters can be extracted, such as the frequency, latency, or amplitude of electrodermal responses. The origins and variability of the measurement parameters of electrodermal activity make this activity sensitive to changes in our environment and to various mental processes controlled by the central nervous system, such as emotion, motivation, attention, and mental workload. Each sensor is associated with a preprocessing circuit which optionally performs analog processing (pre-amplification, filtering, delivery of an excitation signal), digitization (sampling, optional digital filtering, storage in a buffer memory, etc.) to deliver digital signals to a computer which are used to determine the pair of values ​​representative of the emotional state. Trai | 1nlngoi The signals provided by a pair of electrodes are sampled at a frequency of 64 Hz, or even 130 Hz, and filtered in amplitude and frequency to remove aberrant signals. These signals constitute environmental information that complements the signals associated with emotions, for example, to provide context for the mode of movement and / or falling delivered by the accelerometer. The signals provided by the electrical conductivity sensor (10) are sampled at a frequency of 8 Hz and then processed for the calculation of the arousal score and alertness level. The signals provided by the user's heart rate sensor are sampled at a frequency of 100 Hz and used by the calculator for determining the valence score, as well as for biometric recognition and stress level estimation. The skin temperature measurement sensor is sampled at a low frequency of around 1Hz and complements the information used to characterize emotional state. Exempla î iculi One example of implementation is to equip the patient with a connected bracelet wireless equipped with three physiological sensors (a single sensor may suffice) measuring electrodermal conductance (noted GSR for galvanic skin response) at a rate of 8Hz, cardiac activity (noted PPG for photoplethysmography) at a rate of 50Hz, body temperature (noted SKT for skin temperature) at a rate of 1Hz and one or more accelerometric and gyroscopic sensors (noted ACC) at a rate of 50Hz are used to synchronously record the data and the corresponding time stamps. GSR and PPG data are transmitted to a mobile terminal which performs calculations for real-time identification of emotional state. GSR and PPG data are stored in calculation buffers whose durations vary depending on the variables being calculated. In each buffer, signal processing is performed before the extraction of the different variables used for the emotional state identification analysis: GSR signal: A bandpass filtering (4th order butterworth) is applied to the signal with a bandwidth of 0.05 - 1Hz. PPG signal: A bandpass filter (4th order butterworth) is applied to the signal with a bandwidth of 0.5 - 5Hz. The variables used for the emotional state identification analysis are then extracted from the processed signals. The Arousal variable is obtained in a 20-second computational buffer from the normalized spectral power of the GSR signal calculated over the 0.045–0.25 Hz band using a Hilbert-Huang transformation. Processing example The variable Mdiff is stored in a 2-second calculation buffer based on the average of the absolute value of the first derivative of the GSR signal. The variable Valence is obtained in a 60-second calculation buffer by calculating the cardiac coherence ratio. This is achieved by detecting peaks in the PPG signal using a dedicated function to deduce the peak-to-peak time intervals, denoted as RR intervals. Then, the heart rate, denoted BPM, is calculated from these RR intervals. From the BPM signal, the maximum peak of the power spectrum is identified in the 0.04–0.26 Hz band (the frequency range within which coherence can be observed). The power of this peak, denoted Peak Power, is then determined by calculating the integral over a 0.030 Hz wide window centered around the peak. The total power in the 0.0033–0.4 Hz band of the BPM signal, denoted Total Power, is then calculated. The normalized valence level is obtained by the following calculation: [Math.1] Valence = Total PE QuEE Power (1) Every second, the new GSR and PPG values ​​recorded by the bracelet are used to calculate the new Arousal, Mdiff, and Valence values. Madiff is stored in memory for the last minute to allow for dynamic calibration of the system that detects sudden variations in physiological arousal levels. A weighting coefficient is applied to this calibration data to increase the contribution of the most recent values ​​during calibration. Dynamic thresholds can then be calculated to classify the Mdiff variable. The threshold calculation can be detailed as follows: [Math.2] 1) x | _ | x Max | May fr| | + Average | May ff _ ball Lan Threshold, = — badf Læ) (1) With Threshold, the value of the dynamic threshold at time # and pa ] the Mdif f L% 1 values ​​of the variable Mdif f over the entire calibration period. Every second, a new Threshold value is obtained and compared to Mdif f. If Mdif f is greater than its threshold value, then an emotional reaction is detected. Other processing methods Processing using the "Periodic Moving Average Filter" solution can be effective but introduces a lot of latency in the signal. Wavelet denoising is a relevant solution, as is active noise cancellation based on adaptive filtering. This is the most appropriate method for a multimodal approach and can be combined with empirical mode decomposition to further improve noise reduction. Example | The purpose of the invention is to automatically provide, without human intervention, digital signals Sarousai CWOU Syatence Terepresentatives of a person's emotional state. The efficient recognition of emotions based on human physiological activity can be achieved through the use of a simple emotional model. Indeed, emotions can be projected onto a multidimensional space, the most common being the valence-arousal plane. The valence level represents the positivity and negativity of an emotion, while the arousal level describes the intensity of Emotion. These two emotional components are expressed at the physiological level. During stress, the sympathetic nervous system predominates, leading to an increased level of physiological arousal. An accelerated heart rate or an accelerated interbeat interval (IBI) is characteristic of this state. Noise reduction is particularly important for this indicator, from which valence is derived. Light is more sensitive to movement (PPG). At rest, on the contrary, the parasympathetic nervous system is activated, resulting in a decrease in physiological arousal and heart rate. Furthermore, the alternation of accelerations and decelerations in heart rate becomes regular and coherent (state of cardiac coherence) in states of well-being, calm, and control (positive emotional valence), whereas in states of stress, anxiety, and anger (negative emotional valence), the tachogram corresponding to the Sarousai &t Syaience pair becomes irregular, its tracing chaotic, and its magnitude decreases. By extracting the coherence level of the heart rhythm from the PPG signal, it becomes possible to obtain a robust indicator of the level of emotional valence and to calculate dynamic thresholds beyond which this valence level changes significantly. Once the valence level is estimated, it is then possible to check the level of arousal by controlling in the spectral domain the level of physiological activation from the GSR signal in order to deduce in real time the emotional state of the individual and communicate it to the multimedia system with which the latter interacts. The emotional state can be characterized according to the following table: [Table 1] Sontence + + [ERISPE [ALERT | ALERT J NERVEIIX ENITE | Soon THE EXCITED | SORRY | During stress, the sympathetic nervous system predominates, leading to an increased level of physiological arousal. An accelerated heart rate is characteristic of this state. At rest, on the other hand, the parasympathetic nervous system is activated, resulting in a decrease in physiological arousal and... heart rate. Furthermore, the alternation of accelerations and decelerations of the heart rate becomes regular and coherent (state of cardiac coherence) in states of well-being, calm, control (positive emotional valence) whereas in states of stress, anxiety, anger (negative emotional valence), the tachogram becomes irregular, its trace chaotic and its magnitude will decrease. By extracting the coherence level of the heart rhythm from the PPG signal, it becomes possible to obtain a robust indicator of the level of emotional valence and to calculate dynamic thresholds beyond which this valence level changes significantly. Once the valence level is estimated, it is then possible to check the level of arousal by controlling in the spectral domain the level of physiological activation from the GSR signal in order to deduce in real time the emotional state of the individual and communicate it to the multimedia system with which the latter interacts. Learning the characterization criteria To build a characterization model, the invention proposes a variant implementing a preparatory supervised learning step. This solution consists of offering a panel of users equipped with the aforementioned physiological data acquisition device experimental designs consisting of a succession of emotionally labeled video sequences, each associated with a digital descriptor ID(t), and recording the Sarousat signal pairs and their evolution over time for each member of the panel. These structured data (Sarousal © Svalence (t) ; ID (t)) for each of the panel members are then injected into a neural network, to develop a characterization model. Participants will be equipped with a connected bracelet conforming to the invention, fitted with three physiological sensors measuring cardiac activity (denoted PPG for photoplethysmography), body temperature (denoted SKT for skin temperature), and electrodermal conductance (denoted GSR). The bracelets communicate with a portable data acquisition computer that synchronously records the data and corresponding timestamps at acquisition frequencies of 50 Hz, 1 Hz, and 4 Hz for PPG, SKT, and GSR, respectively, for the connected bracelet or smartwatch, and at acquisition frequencies of 64 Hz, 4 Hz, and 4 Hz for PPG, SKT, and GSR. An F'TC Vive virtual reality system will be used to display the selected stimuli to induce an emotional reaction and allows for additional immersion (unprecedented in emotional stimulation protocols). Desi éri ] For each participant, the data will be recorded in a single session of twenty minutes, The experimental plan is: Sn (participants) * V6 (six emotional videos). Each video corresponds to an emotional extreme: "Video 1: Rest (40s) - Sadness-type emotional induction phase (30s) — Post-effect (30s)" Video 2: Rest (40s) - Emotional induction phase of the joy type (30s) — Post-effect (30s) Video 3: Rest (40s) - Disgust-type emotional induction phase (30s) — Post-effect (30s) "Video 4: Rest (40s) - Fear-type emotional induction phase (30s) — Post-effect (30s)" "Video 5: Rest (40s) - Neutral type emotional induction phase (30s) — Post-effect (30s)" "Video 6: Rest (40s) - Relaxation-type emotional induction phase (30s) — Post-effect (30s)" The rest phase will serve as a baseline period for initializing the calculation of physiological variables. For each participant, the order in which the videos are presented will be randomized to avoid any ordering effects. Furthermore, to enrich the dataset, two videos will be available for the emotions of fear and joy. For each participant, the choice of video used for each of these two emotions will be randomized. LP *apñuisifi Each participant is first fitted with one or more connected bracelets and a virtual reality system, allowing them to isolate themselves from external stimuli and optimize their attentional focus. The experimenter then verifies the quality of the physiological signals. Each participant will be instructed to watch six 30-second videos. For the 40 seconds before and the 30 seconds after each video, they will be instructed to remain calm and still. Once all the videos have been viewed, the experimenter helps the participant remove the virtual reality headset and bracelet, then conducts a debriefing to ensure everything went smoothly. Data analysis For each participant, the recorded physiological data will be preprocessed in the following way: For the PPG signal, signal hops will be corrected using a dedicated function. A bandpass filter (4th-order butterworth) will then be applied to the signal with a bandwidth of 0.5–5 Hz, and the signal will then be normalized using a Hilbert transform and smoothed using a 16-second Gaussian window. For the SKT signal, a low-pass filter (4th-order butterworth) will be applied to the signal with a cutoff frequency of 0.05 Hz. Finally, a bandpass filter (4th order butterworth) will be applied to the GSR signal with a bandwidth of 0.05–3 Hz. All these variables will constitute the input data for the emotion classification algorithms. Graphical representation of treatment results Every second, the variables obtained are represented by the detected emotional state display system (noted as overlay) as follows: The diameter of the circle corresponds to the normalized value of the S 4rousat value - The larger the diameter, the higher the level of awakening. The color of the circle corresponds to the normalized value of the valence (S value). When the color tends towards green, the valence level is higher. When the color tends towards red, the valence level is lower. When an emotional reaction is detected based on the evolution parameter Mdif f, the circle's outline animates. The heart rate value is updated at the center of the circle. The emotional state is communicated to the multimedia system with which the individual interacts ([fig.2]). It is important to note that the dock / mobile device allows for the updating of the bracelet itself and the methods for calculating values ​​and detection levels via an internet connection. licati The method according to the invention makes it possible to deliver control signals for the operation of equipment such as a robot, in particular an empathic robot, or to control functional parameters of electronic equipment such as sound level, light level, rhythm… These signals also allow the control of the speed adaptation of an individual / collective transport vehicle and the management of security agents, control, pilots, drivers, but also the reduction of the number of information in delicate piloting situations (fighter jet or F1).

Claims

Demands

1. Electrodermal equipment comprising at least two electrodes (10) configured to be in contact with a dermal area, and a electronic circuit including an analog-to-digital converter and a processor configured to execute executable instructions by computer to polarize said electrodes to measure the current circulating between pairs of electrodes, apply a pretreatment digital to measured electrical signals and determine the dermal layer conductance characterized in that said sensor It also includes an accelerometer, which delivers electrical signals audit processor, said preprocessing taking into account the level of said signals delivered by said accelerometer.

2. Electrodermal equipment according to claim 1 characterized in that said electrodes are made up of pads formed by a sheet of stamped and tinned steel.

3. Electrodermal equipment according to claim 1 characterized in that that it also includes a temperature sensor.

4. Electrodermal equipment according to claim 1 characterized in that that it also includes a heart rate sensor.

5. Electrodermal equipment according to the preceding claim characterized in that said heart rate sensor delivers physiological signals logics by photoplethysmography (PPG).

6. System comprising an electrodermal sensor according to at least one of the previous claims and a calculator delivering at least one numerical data representative of an emotional state, characterized in that the said computer executes a command program: the processing of the provided digital conductance data by said processor on a sliding time window of which the result provides an S,rousal value

7. System comprising an electrodermal sensor according to claim preceding and claim 4 or 5 characterized in that it comprises in in addition to a step of processing a series of rhythm signals cardiac consisting of a bandpass filtering of frequencies between 0.04 and 0.26 Hz and peak detection and measurement temporal inter-pic RR, on said sliding temporal window whose The result provided a Sy4slencer value.