EP3883472A1 - Système interactif avec un occupant d'un vehicule automobile - Google Patents
Système interactif avec un occupant d'un vehicule automobileInfo
- Publication number
- EP3883472A1 EP3883472A1 EP19829282.3A EP19829282A EP3883472A1 EP 3883472 A1 EP3883472 A1 EP 3883472A1 EP 19829282 A EP19829282 A EP 19829282A EP 3883472 A1 EP3883472 A1 EP 3883472A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- occupant
- emotional state
- interactive system
- stimulus
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
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- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
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- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- B60W2050/0028—Mathematical models, e.g. for simulation
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Definitions
- the invention relates to an interactive system with an occupant of a motor vehicle.
- the invention also relates to a method of interaction with an occupant of a motor vehicle.
- the transition to an autonomous car presents more and more challenges in terms of creating an empathetic vehicle that will make driving and / or travel more pleasant.
- the remaining progress can be grouped into three areas, including safety, comfort and entertainment.
- the measurements can be carried out using portable devices making it possible to collect data such as the conductivity of the skin, the temperature, or even the heart rate.
- the system used includes, if possible, a camera, for example of the GoPro® type.
- a known model consists in obtaining, from the various parameters, a map of the passenger's emotional state. Thus, this can be represented by a point in a two-dimensional space formed by an abscissa axis corresponding to the valence (intrinsically pleasant or unpleasant quality of a stimulus or a situation) and a corresponding ordinate axis arousal (strength of emotional stimulus).
- the invention aims to improve known systems by proposing an interactive system making it possible to model the emotional state of an occupant of a vehicle, not only by placing it in a three-dimensional space, but also by interpreting it so as to integrate additional parameters in the model used.
- the invention also proposes to act on the occupant by depending on the emotional state detected and thus have an impact on the safety and / or comfort of the occupants of the vehicle.
- the subject of the invention is an interactive system with an occupant of a motor vehicle comprising:
- a measuring device comprising at least one sensor arranged to acquire at least one parameter related to the occupant of said vehicle
- an on-board processing unit using an occupant's emotional state evaluation model said processing unit being arranged to receive said parameter and define a data item representative of the emotional state of said occupant by means of said model
- the sensors are composed of at least one ultra-wideband radar and an infrared camera.
- the ultra broadband radar has a frequency between 10 GHz and 1 THz, in particular between 50 GHz and 160 GHz.
- the infrared camera detects wavelengths between 0.7pm and 100 microns, in particular between 25pm and 100pm.
- the three-dimensional space for characterizing the emotional state is formed by a first axis corresponding to the valence, a second axis corresponding to the dominance and a third axis corresponding to the arousal.
- the representative data is preprocessed before activating the at least one multi-sensory stimulus.
- the representative data placed in 3D space will be correlated to one or more maps corresponding to different stimuli.
- the pretreatment consists in taking into account additional data, in particular the culture and / or education of the occupant and / or the life and personal experience of said occupant.
- the additional data can be determined by means of an autonomous measurement system allowing the measurement of air quality and / or pollution, and / or microparticles and / or allergens and / or the sound environment and / or the light environment and / or the temperature and / or the humidity.
- the evaluation model is created using artificial intelligence.
- the at least one multi-sensory stimulus is a perfume and / or essential oils and / or a nebulizer and / or lighting and / or sound and / or music and / or vibration and / or a massage and / or an air flow.
- the multi-sensory stimulus allows a modification of the occupant's emotional state.
- the multi-sensory stimulus allows a remediation of the occupant’s emotional state.
- the multi-sensory stimulus allows an amplification of the occupant's emotional state.
- the interactive system has a learning loop for improving the processing of the emotion evaluation model.
- the at least one sensor can be chosen from: a camera, in particular far infrared and / or near infrared and / or in the visible, a microphone, a portable device, a sensor installed in the vehicle in particular a conductive element placed in a seat and / or in a steering wheel and / or in an armrest.
- the interactive system can comprise at least one far infrared camera, several vital sign sensors and a microphone.
- the interactive system comprises at least one display means, particularly a user interface.
- the at least one display means can be a portable device, in particular a watch and / or glasses and / or a bracelet and / or a belt and / or a shirt.
- the at least one display means can be a text and / or a color and / or a sound and / or a vibration.
- the invention also relates to a method of interaction with an occupant of a motor vehicle comprising the steps consisting in:
- d) interpret the representative data by adapting the three-dimensional space as a function of additional data, in particular the culture and / or education of the occupant and / or the life and personal experience of said occupant,
- the method further comprises a step consisting in informing the occupant of his emotional state and / or of the stimulus applied.
- FIG. 1 is a schematic diagram of at least part of the method according to the invention
- FIG. 2 is a schematic representation of a three-dimensional space AVD used in one of the steps of the method of FIG. 1,
- FIG. 3 is a schematic representation of the step for evaluating the process of FIG. 1,
- FIG. 4 is a schematic representation of the step of analyzing the process of FIG. 1,
- FIG. 5 is a schematic representation of the multi-sensory mapping used in the method of FIG. 1,
- FIG. 6 is a schematic representation of the construction of the cartography of FIG. 5,
- Figure 7 is a schematic representation of the action step of the process of Figure 1.
- the interactive system proposed in the invention uses a process having five stages. These five stages shown schematically in Figure 1
- a measurement step (M) carried out by a measurement device and during which one or more parameters relating to the occupant (s) are collected
- an action step (Ac) during which at least one multi-sensory stimulus is applied so as to modify the emotional state of the occupant (s)
- an information step (Inf) during which the occupant is informed of their emotional state and the stimuli applied.
- the measurement device will acquire one or more parameters describing the status and therefore the emotional state of the occupant (what is described for an occupant can of course be applied to several occupants of vehicle simultaneously). Parameters describing the environment in which the occupant is located can also be collected in order to deduce their possible effect on the emotional state of the occupant.
- the device described in the previous paragraphs is composed of one or more sensors. These sensors are preferably sensors on board the vehicle, such as, for example, one or more cameras, vital sign sensors, one or more microphones or even contact sensors.
- the measurements are carried out by cameras, in particular infrared cameras which take images in the infrared domain. These cameras are directed towards the expected positions of the various occupants of the vehicle: driver's seat, passenger seat, rear seat, etc. In particular, one or more very wide angle cameras (for example of the “fisheye” or “fish eye” type). »In French) can cover several positions simultaneously. Infrared cameras preferentially detect wavelengths between 0.7pm and 100pm, preferably 25pm and 100pm.
- NIR near infrared cameras
- FIR far infrared cameras
- the images from nearby infrared cameras can for example be used to delimit the position, dimensions and movements of different parts of the body of an occupant of the vehicle.
- the images from far infrared cameras can for example be used to identify the parts of the occupant's body exchanging the most heat with the passenger compartment, for example the head and hands, which are not covered with clothing and will thus appear more hot.
- the measurement device also makes it possible to determine the environment of the passenger (s), which may affect his emotional state.
- data such as temperature, light intensity, noise, vehicle speed, etc. can be collected.
- the measuring device comprises at least one microphone making it possible to record the voice of the passenger or passengers.
- the measurement device can also include biosensors which can detect parameters such as organic compounds, ions, bacteria, etc.
- the measuring device can also be composed of vital sign sensors. These can for example be in the form of contactless sensors such as for example a radar, a camera, or even portable elements (watch, shirt, bracelet, etc.).
- Vital sign sensors in contact with the passenger can also be used. They are, for example, in the form of conductive elements installed in parts of the vehicle (armrest, steering wheel, seat, etc.). These vital sign sensors measure parameters such as the rhythm and / or the heart rate, the frequency and / or the respiratory amplitude, the conductivity of the skin, the brain waves, etc ...
- a preferred embodiment uses an ultra wideband short range radar.
- the radar frequency can for example be between 10 GHz and 1 THz, preferably between 50 GHz and 160 GHz.
- the next stage of interpretation and / or evaluation (I) consists of evaluating and interpreting the parameters obtained during the measurement stage (M).
- these parameters will be translated into representative data easily represented in a first three-dimensional space or 3D space (AVD) for characterizing the emotional state.
- This 3D space is represented in FIG. 3. It is formed by a first axis corresponding to the valence (V), a second axis corresponding to the dominance (D) and a third axis corresponding to the arousal ( AT).
- FIG. 3 illustrates the placement of the representative data described above and obtained by means of a processing unit using an emotion evaluation model, in the three-dimensional space AVD. This data varies over the time spent by the occupant in the vehicle. Thus, a first representative datum is provided for a time to while the representative datum corresponding to the present is illustrated by tactuai. Continuous measurements are preferably carried out, so as to obtain the curve shown in FIG. 3. However, discrete measurements can also be carried out.
- This analysis (A) makes it possible to determine the emotional state of the occupant as a function of the placement of the representative data on the 3D AVD space.
- FIG 4. An example of the map described above is shown in Figure 4. This map of the occupant’s emotional state will then be correlated to one or more maps corresponding to different stimuli. These stimuli are based on the five senses: sight, smell, taste, touch, hearing. The maps corresponding to each of the five directions are shown in Figure 5.
- mapping of the five senses is carried out in three stages illustrated in FIG. 6. Indeed, the initial adjustments of the vehicle can be described as being those corresponding to the primary emotional state of the occupant, that is to say an emotional state where the occupant reacts primarily.
- the cartography is then modified taking into account the impact of the culture and / or education of the occupant.
- This step can, for example, be carried out by deep learning (or “deep learning” in English), making it possible to obtain a user profile for each occupant.
- the last step in the construction of the cartography concerns the impact of the occupant's personal life and / or experience.
- This step is preferably done by statistical learning (or "machine learning” in English), thus making it possible to adapt the mapping in real time.
- the action step (Ac) shown in Figure 1 corresponds to the application of one or more stimuli.
- the choice of stimulus depends on the desired effect.
- different types of actions can be selected.
- the point of intersection of the three axes of the three-dimensional space AVD corresponds to the neutral position of the emotional state of the occupant.
- Figure 7 illustrates three examples of actions that can be applied. Therefore, the choices can be: a) a remediation, for which a stimulus located symmetrically with respect to the neutral position in 3D AVD space will be applied. In this way, the occupant's emotional state is brought back to the neutral position shown in Figure 7; b) an amplification, for which a stimulus positioned in the direction opposite to the neutral position in 3D space (relative to the initial position) is applied; c) a modification making it possible to pass from the initial position (initial status of the emotional state) to a given specific position (desired status of the emotional state), the stimuli or stimuli being chosen as a function of the given specific position.
- a remediation for which a stimulus located symmetrically with respect to the neutral position in 3D AVD space will be applied. In this way, the occupant's emotional state is brought back to the neutral position shown in Figure 7
- an amplification for which a stimulus positioned in the direction opposite to the neutral position in 3D space
- the multisensory stimuli used can, for example, be: a) For sight: use of interior lighting with different colors and / or different intensities, b) For smell: use of a perfume diffuser, essential oils or pheromones, c) To touch it: use of radiant panels, water nebulization, use of hot and / or cold air jets, d) For hearing: selection of music or noise atmosphere, e) For the taste: diffusion of perfume or nebulization which can create pheromones combining the five main flavors (salty, sour, bitter, sweet, umami).
- the interactive system may have one or more display means. This can be, for example, in the form of a device portable, in particular a watch and / or glasses and / or a bracelet and / or a belt and / or a shirt.
- the display means may also be in the form of text and / or a color and / or a sound and / or a vibration.
- the type of stimulus may be different than those described in the application,
- the preprocessing can take into account only part of the five directions to carry out the mapping described above, c) the measurements can be carried out simultaneously or one after the other for the different occupants of the vehicle, d) the order of process steps may vary, for example a stimulus may be applied before the parameter measurement step. !
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Abstract
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR1871681A FR3088604B1 (fr) | 2018-11-21 | 2018-11-21 | Système interactif avec un occupant d’un véhicule automobile |
| PCT/FR2019/052722 WO2020104742A1 (fr) | 2018-11-21 | 2019-11-15 | Système interactif avec un occupant d'un vehicule automobile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3883472A1 true EP3883472A1 (fr) | 2021-09-29 |
Family
ID=66641015
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP19829282.3A Withdrawn EP3883472A1 (fr) | 2018-11-21 | 2019-11-15 | Système interactif avec un occupant d'un vehicule automobile |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20210394762A1 (fr) |
| EP (1) | EP3883472A1 (fr) |
| CN (1) | CN113164119A (fr) |
| FR (1) | FR3088604B1 (fr) |
| WO (1) | WO2020104742A1 (fr) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11787062B2 (en) * | 2019-12-12 | 2023-10-17 | The Boeing Company | Emotional intelligent robotic pilot |
| CN112869742A (zh) * | 2021-01-11 | 2021-06-01 | 金纪高科智能科技(北京)有限公司 | 一种基于视频算法的实时监测预警系统及方法 |
| CN114949531A (zh) * | 2022-05-13 | 2022-08-30 | 青岛大学 | 基于生理信号的vr双模式情绪自动控制系统 |
| FR3146864A1 (fr) | 2023-03-22 | 2024-09-27 | Psa Automobiles Sa | Procédé de gestion d’ambiances multisensorielles dépendant de données externes au véhicule automobile |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101006191B1 (ko) * | 2002-08-06 | 2011-01-07 | 윤재민 | 가상인격체의 감정표현과 동작구현방법 |
| JP2008511080A (ja) * | 2004-08-23 | 2008-04-10 | サーノフ コーポレーション | 融合画像を形成するための方法および装置 |
| WO2008064431A1 (fr) * | 2006-12-01 | 2008-06-05 | Latrobe University | Procédé et système de surveillance des changements d'état émotionnel |
| US10111611B2 (en) * | 2010-06-07 | 2018-10-30 | Affectiva, Inc. | Personal emotional profile generation |
| FR3001679B1 (fr) * | 2013-02-01 | 2016-07-01 | Peugeot Citroen Automobiles Sa | Procede de commande d'organes fonctionnels d'un vehicule pour generer differentes ambiances multisensorielles dans le vehicule |
| DE102015105581A1 (de) * | 2014-11-03 | 2016-05-04 | Audi Ag | System und Verfahren zur Überwachung des Gesundheitszustandes und/oder des Befindens eines Fahrzeuginsassen |
| US9792084B2 (en) * | 2015-01-02 | 2017-10-17 | Gracenote, Inc. | Machine-led mood change |
| DE102015200775A1 (de) * | 2015-01-20 | 2016-07-21 | Bayerische Motoren Werke Aktiengesellschaft | Unabhängigen Beurteilung eines emotionalen Zustandes und einer kognitiven Belastung |
| CN106293383A (zh) * | 2015-06-19 | 2017-01-04 | 奥迪股份公司 | 用于控制机动车辆的界面装置的方法 |
| DE102015216623A1 (de) * | 2015-08-31 | 2017-03-02 | Bayerische Motoren Werke Aktiengesellschaft | Situative Neuromodulation eines Insassen eines Kraftfahrzeugs |
| US10430810B2 (en) * | 2015-09-22 | 2019-10-01 | Health Care Direct, Inc. | Systems and methods for assessing the marketability of a product |
| KR101781537B1 (ko) * | 2015-11-16 | 2017-09-26 | 엘지전자 주식회사 | 차량의 실내 방향 장치의 제어방법 |
| EP3207868A1 (fr) * | 2016-02-19 | 2017-08-23 | Patonomics AB | Procédé et appareil permettant d'identifier un état émotionnel transitoire d'un mammifère vivant |
| FR3059221A1 (fr) * | 2016-11-28 | 2018-06-01 | Ironova | Dispositif apte a identifier un etat emotionnel, bracelet integrant un tel dispositif et procede associe d'identification et de reaction a un etat emotionnel |
| CN108056774A (zh) * | 2017-12-29 | 2018-05-22 | 中国人民解放军战略支援部队信息工程大学 | 基于视频刺激材料的实验范式情绪分析实现方法及其装置 |
-
2018
- 2018-11-21 FR FR1871681A patent/FR3088604B1/fr active Active
-
2019
- 2019-11-15 US US17/295,251 patent/US20210394762A1/en not_active Abandoned
- 2019-11-15 EP EP19829282.3A patent/EP3883472A1/fr not_active Withdrawn
- 2019-11-15 CN CN201980076677.4A patent/CN113164119A/zh active Pending
- 2019-11-15 WO PCT/FR2019/052722 patent/WO2020104742A1/fr not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| FR3088604B1 (fr) | 2021-07-23 |
| WO2020104742A1 (fr) | 2020-05-28 |
| US20210394762A1 (en) | 2021-12-23 |
| FR3088604A1 (fr) | 2020-05-22 |
| CN113164119A (zh) | 2021-07-23 |
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