EP2659475A1 - Procede et systeme de construction d'un graphe representant le plan d'un batiment batiment - Google Patents
Procede et systeme de construction d'un graphe representant le plan d'un batiment batimentInfo
- Publication number
- EP2659475A1 EP2659475A1 EP11815455.8A EP11815455A EP2659475A1 EP 2659475 A1 EP2659475 A1 EP 2659475A1 EP 11815455 A EP11815455 A EP 11815455A EP 2659475 A1 EP2659475 A1 EP 2659475A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- person
- constructing
- graph
- information
- building
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram
- G09B29/003—Maps
- G09B29/004—Map manufacture or repair; Tear or ink or water resistant maps; Long-life maps
Definitions
- the invention relates to the field of home automation and more particularly to personal assistance services based on the remote monitoring of the actimetry of this person, that is to say, his activity in his home environment.
- Information such as the time spent in each room and the movements in the environment can detect changes in the behavior of the person.
- a change such as a lack of displacement is for example considered as an indication of the problem of displacement or illness.
- the patent application EP 1 804 149 published July 4, 2007, discloses a mobile robot arranged to create a map of the environment in which it is located.
- This mobile robot comprises means for controlling the speed and direction of the robot, robot movement detection means and means for detecting objects around the robot.
- the object detection means comprise a laser beam emitter used to measure the distance of the objects from the robot. They are possibly associated with a radar.
- the motion detection means are, for example, odometers installed on the wheels of the robot.
- the sensors embedded in these robots require great stability.
- the emitted laser rays must be oriented very precisely in relation to the horizontal.
- the invention improves the situation.
- the invention proposes a method of constructing a graph representing a building in which a person moves, characterized in that it comprises the following steps: receiving information relating to the movement of said person during a time period in said building, said information being collected and transmitted by a portable device associated with said person;
- the portable device associated with the person is for example installed in a pocket of a person's clothing. Thus, he performs the same moves as the person. It does not require own means of locomotion. As a result, it is less expensive than a robot of the prior art.
- Travel information is collected as the person travels.
- the collection of information does not require any action of the person. Collection does not require any special skills and can be done by anyone.
- the only constraint for her is to keep the wearable device on her.
- the displacement information collected over a given period of time, allows a remote server to build a map in the form of a graph of the person's environment. The construction of the graph does not require an initial plan.
- the displacement information is dated and the method further comprises a step of assigning a part identifier of said building to said branch according to a predetermined list of parts, at least one rule of use of said predefined parts and dated travel information.
- the rules of use are determined according to the lifestyle of the person. These habits are either general habits, for example, sleeping in a room, or the particular habits of the person, for example, watching television after lunch.
- the construction step comprises a step of determining a trajectory followed by the person during said displacements as a function of the received movement information and a determination step of at least one segment of trajectory corresponding to a geographical area.
- the displacement information makes it possible to trace the path traveled by the person.
- the information recorded over a large amplitude time range reveals recurring paths. These repetitive paths make it possible to define zones by a position.
- the displacement information collected is the angular velocity, the acceleration and the magnetic field.
- Angular velocity, acceleration and magnetic field sensors are simple and inexpensive sensors.
- the displacement information is collected along three axes of a three-dimensional coordinate system.
- the displacement information is collected by an inertial navigation module of the portable device.
- An inertial navigation module is compact and allows the collection of displacement information in a simple manner for the user.
- the portable device is a mobile phone equipped with an inertial navigation module.
- the attribution of a part name is furthermore a function of a measurement made by a sensor in the building and / or of an event detected in the circuit. electrical building.
- sensors and / or events detected in the electrical network of the building make it possible to increase the reliability of the process when assigning a part name.
- the method of constructing a graph further comprises a second step of receiving information relating to the movement of the person, and the construction and attribution steps are reiterated according to the data received during the processing. the second reception step.
- Collecting motion information over a new time range increases the accuracy of the graph as well as the assignment of part names.
- the method of constructing a graph further comprises a step of calculating, as a function of said part identifier, at least one representative reference value of the activity of the person during at least one time interval included in said time range. Travel information is also used to measure a person's activity. This measure of activity translates into a representative value of the activity which is, for example, the duration of meals, the volume occupied in the building ...
- the invention also relates to a method of remotely monitoring the activity of a person in a building, comprising the following steps:
- the monitoring process makes it possible to follow the evolution of the activity of the person over time. Compared with reference values determined during a learning phase, it is possible to determine whether the person is feeding, moving, sleeping sufficiently ...
- the learning phase is for example, the construction phase of the graph.
- the method for remotely monitoring the activity of a person further comprises the following steps:
- an alert process can be triggered.
- the alert may for example involve a doctor or prevent a parent.
- the server further comprises means for allocating a part identifier to said branch according to a predetermined list of parts, at least one rule for using said predefined parts and to dated travel information.
- the invention finally relates to a computer program product comprising instructions for implementing the steps of a method of constructing a graph as described above, when it is loaded and executed by a processor.
- FIG. 1 illustrates the general context of the invention
- FIG. 2 represents a system able to implement a method of constructing a graph according to one embodiment of the invention
- FIG. 3 is a flowchart illustrating the various steps of a method of constructing a graph according to an embodiment
- FIG. 4 represents an example of a graph obtained
- FIG. 5 is a flowchart illustrating the various steps of a step of constructing a method of constructing a graph according to an embodiment
- FIG. 6 illustrates an example of specific time windows
- FIG. 7 illustrates an example of time intervals determined in a time window
- FIG. 8 represents an example of a segment obtained for the time window of FIG. 7,
- FIG. 9 represents an example of a trajectory of displacement
- FIG. 10 represents an example of sections determined from a trajectory.
- FIG. 11 is a flowchart illustrating the various steps of a method for remotely tracking the activity of a person according to one embodiment.
- FIG. 1 illustrates the general context of the invention.
- FIG. 1 represents a BAT building, for example an apartment, in which a person U moves with a portable device D.
- the portable device D is carried by the person U so that any movement of the user U causes a similar movement of the portable device D.
- the portable device D is for example inserted into a pocket of a garment of the person U .
- the portable device D is able to collect information relating to the movement of the person U and to transmit them to a remote server S via a communication network R.
- the server S is located outside the building.
- the server S is located in the building BAT and the portable device D communicates with the server S via a wireless link, for example Wifi type.
- the BAT building has five rooms: a kitchen, a bedroom, a toilet, a bathroom and a corridor.
- FIG. 2 represents an embodiment of a SYS system comprising the portable device D and the server S.
- the portable device D comprises a communication module DIA able to communicate with the server S via the communication network R, a collection module COL of displacement information relating to the movements it performs and an information recording module ENR collected.
- the collection module COL comprises for example a magnetometer capable of measuring a magnetic field, a gyro able to measure an angular velocity and an accelerometer able to measure an acceleration.
- the collection module COL comprises a gyroscope and an accelerometer.
- the collection module COL is for example an inertial navigation device.
- the portable device D is for example a mobile phone comprising an inertial navigation device.
- the server S is, for example, a computer type PC (for "Personal Computer") or a PDA (for "Personal Digital Assistant").
- the server S has in particular a processing unit MT equipped with a microprocessor, a random access memory RAM, one or more MM ROM or EEPROM ROMs in which programs that can be executed by the microprocessor are recorded.
- the server S may comprise in a conventional and non-exhaustive manner the following elements: a screen, a keyboard, a microphone, a speaker, a storage means ...
- the server S also has a reception module REC, a building module
- the reception module REC is able to receive data via the network R, for example displacement information from the portable device D.
- the processing unit MT is driven by a computer program PG in order to implement in particular the method of constructing a graph according to an embodiment of the invention described later with reference to FIG.
- the computer program PG includes code instructions for implementing the steps of the method of constructing a graph and in particular the steps of receiving information relating to the movement of the person during a time span in the building, said information being collected. and transmitted by a portable device associated with the person and constructing at least one branch of said graph from the movement information received.
- the computer program PG can also implement a step of assigning a room identifier of said building to a branch of the graph according to a predetermined list of rooms, at least one rule of use of said predefined rooms and dated travel information.
- the computer program may also include code instructions for implementing the steps of a method of remotely tracking the activity of a person according to an embodiment described later with reference to FIG. 11.
- the collection module COL of the portable device D collects information ID1 relating to the movement of the person U during a determined time range T, for example a day.
- the collection module COL collects information relating to its own displacement, which corresponds here to the displacement of the person U when the portable device D is associated with this person.
- the ID1 information collected is, for example, the acceleration A (t), the angular velocity V (t) and the magnetic field MG (t).
- the IDl information is recorded by the recording module ENR in an internal memory of the portable device as and when they are collected in association with a timestamp ("timestamp" in English).
- the collected information is for example in the form of recorded signals as a function of time.
- the information collected is dated information.
- the information relating to the displacement corresponds to measurements made periodically, for example every 10 seconds, and recorded in association with a date.
- the collection module COL records signals with no variations or signals of zero value.
- the information ID1 collected during the time period T is transmitted by the DIA module of the portable device D to the server S through the telecommunications network R, during a step E4.
- the collected data are transmitted regularly, for example every hour.
- the transmitted data are received by the REC module of the server S during a step E6. All the data collected during the time period T are analyzed during a step E8.
- step E8 the construction module CON determines, from the collected information received ID1, a graph G representing the building BAT.
- the graph G comprises at least one branch.
- FIG. 4 represents an example of graph G determined for the BAT building.
- construction step E8 is detailed in the following description with reference to FIG. 5.
- step E8 is followed by a step of receiving information relating to the displacement of the person U over a new time range, for example a day, subsequent to the time range T and the step E8 is reiterated based on new information received.
- the allocation module ATT assigns a part identifier to one or more branches of the graph according to a list of parts, at least one predefined part usage rule and information Displacement IDl stamped.
- step E10 is not performed.
- the method may include acquiring new information relating to the movement of the person over a new time range, for example a day, subsequent to the time range T and the reiteration of steps E8 and E10.
- the new displacement information will validate or otherwise modify the graph obtained.
- the construction module CON determines, from the set of collected information ID1, time windows Fi corresponding to a displacement of the person U.
- a time window Fi corresponds to a time interval for which the acceleration A (t) and / or the speed V (t) are non-zero.
- Each time window Fi is identified by a start time Tid and an end time
- FIG. 6 shows an example of time windows Fi, F 2 .. .Fj determined.
- the changes of direction made in each time window Fj are determined as a function of the signals from the accelerometer A (t) and the gyroscope MG (t) as well as the time instants Tij associated with the changes of direction. .
- a time window Fi is thus divided into n time intervals ITi.
- a time interval ITi corresponds to a movement made in the same direction.
- FIG. 7 represents an example of a time window Fi in which two changes of direction have been determined.
- the changes of direction are associated respectively with time instants Til and Ti2.
- Three time intervals ITI, IT2 and IT3 respectively corresponding to a displacement in a direction are determined.
- the construction module CON determines, for each time interval ITi, the number of steps Pi made according to the signal supplied by the accelerometer A (t) over this time interval.
- the number of steps is representative of the distance traveled over the time interval ITi considered.
- the number of steps Pi is obtained from an estimate of the length of a step.
- the exact knowledge of the distance traveled during each step would provide a graph of the environment on a real scale. However, this information is complex to obtain because this step length varies from one person to another depending in particular on its size. It is considered here that all the steps have the same length.
- a path segment Si is determined for each time interval ITi.
- a trajectory segment Si corresponds to a movement made in the same direction.
- a trajectory segment Si is identified by a start position Pdi, an end position
- the end position Pfi of a segment Si is a position defined relative to the starting position Pdi of this segment Si, as a function of the distance traveled during the time interval ITi and as a function of the direction of movement Di associated with the time interval ITi
- the starting position of a segment Si corresponds to the end position of the preceding segment.
- FIG. 8 represents an example of segments determined for the time window Fi shown in FIG. 7.
- the start point A of displacement is determined arbitrarily.
- a first segment SI determined for the time interval ITI, has a start position at A and an end position determined at B.
- a second segment S2, determined for the time interval IT2, has a start position B and end position C.
- a third segment S3, determined for time interval IT3, has a start position C and an end position D.
- the position of each segment can be determined and thus obtain the person's moving trajectory TJ, in an arbitrary coordinate system.
- the starting point of the trajectory TJ corresponds, for example, to the first detections of movement in the temporal range T.
- FIG. 9 represents an example of TJ displacement trajectory in the BAT building
- a group of segments includes segments with similar positions and the same direction. Two segments have a similar position if their start and end positions are on the same axis.
- a trajectory section TRi is an area defined by a group of segments.
- the trajectory sections are for example obtained by smoothing the segments, for example taking into account only the changes of direction greater than 60 degrees.
- FIG. 10 represents the sections TRi determined for the trajectory of displacement TJ in the building BAT.
- branches Bi are determined from the sections TRi and according to the movements of the person.
- the branch B l comprises, for example, the sections TR9 and TRIO because when the person U borrows the TRIO section, it then borrows the section TR9 and vice versa.
- the section TR3 does not belong to the branch Bl because during its displacements, the person U borrowing TR3 does not always take the section TRIO of the branch B1.
- the section TR3 represents here the trunk of the graph, which is considered as a particular branch.
- the set of branches Bi obtained constitute the graph G representing the building
- step E10 for assigning part identifier to one or more branches of the graph G obtained previously will now be described.
- a set of predefined rules for example comprises two rules RI and R2.
- Rule RI is for example: “during the time slot from 23:00 to 6:00, the person U is mainly in the room”.
- Rule R2 is for example: “between 12h and 14h, the person U is mainly in the kitchen”.
- the rules are built by a human operator or by an automatic learning system. They are constructed according to the human activity on certain periods of the day, for example according to declarations of the person U.
- the list L of the rooms of the building BAT is for example established and transmitted by the person U.
- a room identifier is associated with each room.
- the list of parts and associated identifiers is recorded in the server S for example, by a human operator.
- the L list of rooms includes for example five rooms: a kitchen, a bedroom, a toilet, a bathroom and a corridor.
- a CUI identifier is associated with the kitchen, a CHA identifier is associated with the room, a WC identifier is associated with the toilet, an SBA identifier is associated with the bay room and a COU identifier is associated with the corridor.
- the identifiers CUI, CHA, WC, SBA and COU represent room identifiers.
- a branch Bi is associated with trajectory segments Si and a trajectory segment Si is determined for a time interval Tli.
- a branch Bi is associated with time intervals ITi of the time range T.
- the attribution module ATT assigns a part identifier to one or more branches.
- the part identifier CUI is for example assigned to the branch Bl according to the rule
- the part identifier CHA is assigned to the branch B3 according to the usage rule RI.
- a part identifier is assigned based on the displacement information, the parts list and at least one usage rule.
- the allocation of a part identifier is performed taking into account, in addition to the displacement information, information provided by sensors present in the environment of the person (for example by a clamp ampere). -metric) and received by the server S.
- the detection of events on the electrical network such as for example the ignition of a furnace or an electric plate, the start of a tele viewfinder ... is also taken into account to assign a part identifier to a branch of the graph.
- the detected event is the deposition of the portable device D on a data unloading base located in the person's room. This event correlates with the displacement information to identify the branch corresponding to the chamber.
- the rules of use RI and R2 are rules related to fixed time periods.
- a usage rule may contain one or more time slots associated respectively with a weighting value.
- a usage rule for assigning the CUI part identifier contains time ranges 8-9, 11-12, 19-20 hours, and a higher weight value is associated with the range 11-12 hours .
- the weighting values are obtained by a declaration of the person U or by learning.
- a rule of thumb can also take into account a spectral distribution of equal weight schedules. This type of rules is particularly suitable for assigning the WC part identifier.
- a part ID can also be assigned by elimination. Referring to Fig. 11, an embodiment of a method for remotely tracking the activity of a person in the BAT building will now be described.
- a part identifier W is registered in association with a time interval J in a memory of the server S.
- the part identifier W and the associated time slot J represent an ACT activity.
- the lunch activity is represented by the room ID
- a graph G representing the building BAT is constructed according to ID1 collected time displacement information over a time range T.
- This graph is for example the graph G described above.
- a step E104 the server S extracts displacement information IFD1 relating to the time interval J from the collected displacement information ID1.
- the server S calculates a reference value VAref representative of the activity of the person U for the location identifier W associated with the time interval J.
- the reference value VAref is calculated according to the displacement information IFD1 relating to the time interval J and the graph G.
- the reference value for the time interval "12h-14h” and the room identifier “kitchen” is the time spent in the kitchen between 12h and 14h and the calculated reference value is "30 minutes”.
- the reference value for the time interval corresponding to one day (24 hours) and the room identifier "kitchen” is "1 hour".
- the part identifier W is an identifier representing a part of the building BAT.
- a part identifier W is an identifier representing several pieces of the building BAT.
- the calculated reference value VAref is recorded, by the server S, in a memory of the server S, for example a memory area M of the memory MM (FIG. 2), in association with the storage interval. time J and the part identifier W.
- Steps E104 to E108 represent a learning phase.
- the server S receives second ID2 dated displacement information collected by the portable device D during a second time period T2.
- the second time range T2 is for example a range of 24 hours lying one month after the time range T.
- the second time range T2 is of a duration different from that of the time range T.
- the server S extracts second displacement information IFD2 relating to the time interval J from the second collected displacement information ID2.
- the server S calculates an activity value VA for the part identifier W associated with the time interval J.
- the current value VA is representative of the activity of the person U during the time interval J.
- the current value VA is calculated according to the graph G and the second displacement information IFD2 relating to the time interval J.
- Steps E204 and E206 are similar to steps El 04 and El 06 of the learning phase.
- the server S compares the current value VA and the reference value
- the server S triggers an alerting process (step E210).
- the threshold S (W, J) is for example recorded in association with the part identifier W and the time interval J during the step E104.
- VAref is greater than the threshold S (W, J)
- the steps E202 to E208 are repeated over several time ranges, for example several days, and the alert is triggered if the difference between the current value VA and the reference value VAref is greater than the threshold S (W, J) for several days.
- a part identifier W is associated with a time interval J.
- a part identifier W may be associated with several time intervals J.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1061314A FR2969800A1 (fr) | 2010-12-28 | 2010-12-28 | Procede et systeme de construction d'un graphe representant un batiment |
PCT/FR2011/053076 WO2012089959A1 (fr) | 2010-12-28 | 2011-12-20 | Procede et systeme de construction d'un graphe representant le plan d'un batiment batiment |
Publications (1)
Publication Number | Publication Date |
---|---|
EP2659475A1 true EP2659475A1 (fr) | 2013-11-06 |
Family
ID=45558752
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP11815455.8A Ceased EP2659475A1 (fr) | 2010-12-28 | 2011-12-20 | Procede et systeme de construction d'un graphe representant le plan d'un batiment batiment |
Country Status (4)
Country | Link |
---|---|
US (1) | US9881397B2 (fr) |
EP (1) | EP2659475A1 (fr) |
FR (1) | FR2969800A1 (fr) |
WO (1) | WO2012089959A1 (fr) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3907679B1 (fr) | 2020-05-08 | 2023-09-13 | Accenture Global Solutions Limited | Navigation et séquençage améliorés d'une flotte de robots |
US20220351133A1 (en) * | 2021-05-03 | 2022-11-03 | Accenture Global Solutions Limited | Modeling dynamic material flow in generative design using topological maps |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1213905B1 (fr) * | 2000-12-06 | 2011-08-17 | Siemens AG | Collection de données dépendantes de la localisation |
HK1052830A2 (en) * | 2003-02-26 | 2003-09-05 | Intexact Technologies Ltd | An integrated programmable system for controlling the operation of electrical and/or electronic appliances of a premises |
US8836580B2 (en) * | 2005-05-09 | 2014-09-16 | Ehud Mendelson | RF proximity tags providing indoor and outdoor navigation and method of use |
FR2886501A1 (fr) * | 2005-05-31 | 2006-12-01 | France Telecom | Procede et dispositif de localisattion d'un terminal dans un reseau local sans fil |
ATE510248T1 (de) | 2005-12-28 | 2011-06-15 | Abb Research Ltd | Mobiler roboter |
US7587274B2 (en) * | 2006-03-14 | 2009-09-08 | Sap Ag | System and method for navigating a facility |
US8947421B2 (en) * | 2007-10-29 | 2015-02-03 | Interman Corporation | Method and server computer for generating map images for creating virtual spaces representing the real world |
EP2096610A1 (fr) * | 2008-02-26 | 2009-09-02 | British Telecommunications Public Limited Company | Seuil de surveillance à distance |
US20100203901A1 (en) * | 2009-02-11 | 2010-08-12 | Dinoff Robert K | Location-Based Services Using Geofences Generated from Learned Patterns of Movement |
-
2010
- 2010-12-28 FR FR1061314A patent/FR2969800A1/fr active Pending
-
2011
- 2011-12-20 US US13/976,926 patent/US9881397B2/en active Active
- 2011-12-20 EP EP11815455.8A patent/EP2659475A1/fr not_active Ceased
- 2011-12-20 WO PCT/FR2011/053076 patent/WO2012089959A1/fr active Application Filing
Non-Patent Citations (2)
Title |
---|
None * |
See also references of WO2012089959A1 * |
Also Published As
Publication number | Publication date |
---|---|
US9881397B2 (en) | 2018-01-30 |
WO2012089959A1 (fr) | 2012-07-05 |
FR2969800A1 (fr) | 2012-06-29 |
US20130271468A1 (en) | 2013-10-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP1886517B1 (fr) | Procédé et dispositif de localisation d'un terminal dans un réseau local sans fil | |
EP3227705B1 (fr) | Dispositif électronique pour la localisation proche d'un objet terrestre, et procédé de localisation d'un tel objet | |
US8843948B2 (en) | Methods and apparatus to detect carrying of a portable audience measurement device | |
FR2980327A1 (fr) | Dispositif et methode de collecte d'informations relatives a des points d'acces | |
US9158740B2 (en) | Systems and methods for speed estimation based on stride data using predictive modeling | |
EP3045919B1 (fr) | Système et procédé d'estimation de la vitesse d'un véhicule | |
WO2007093641A2 (fr) | Dispositif de capture de mouvement et procede associe | |
WO2020142709A1 (fr) | Routage prédictif basé sur un microemplacement | |
US20190348167A1 (en) | System and method for health data management with wearable devices | |
CN108415041A (zh) | 移动装置的接收器及其改进方法 | |
US10845203B2 (en) | Indoor/outdoor detection using a wearable computer | |
WO2012089959A1 (fr) | Procede et systeme de construction d'un graphe representant le plan d'un batiment batiment | |
US7962313B2 (en) | Method and apparatus for using mobile code for distributed data fusion in networked sensing systems | |
EP1788357A1 (fr) | Système de localisation d'utilisateur pieton | |
US20160349376A1 (en) | Multimode Pedestrian Odometer | |
FR3131048A1 (fr) | Procédé de surveillance d’un utilisateur, dispositif de surveillance et programme d’ordinateur correspondants | |
FR3076442A1 (fr) | Chaussure comprenant un accelerometre et un gyroscope, ensemble et procede de detection de chute correspondant | |
EP3213465A1 (fr) | Procédé et système de gestion d'entités connectées | |
FR3032286A1 (fr) | Procede et systeme d'estimation d'une population | |
US20230245549A1 (en) | Systems and Methods for Dual Direction Individual Monitoring | |
US12004054B1 (en) | Electronic devices with motion-based proximity sensing | |
Papatsimpa et al. | Distributed sensor fusion for activity detection in smart buildings | |
WO2024134104A1 (fr) | Gant a retour haptique pour la communication entre personnes | |
Liu | Device-Free Passive Indoor Localization Based on WI-FI Channel State Information for Long-Term Monitoring | |
FR3053558A1 (fr) | Procede de localisation d'au moins un second terminal mobile suite a un evenement relatif a un premier terminal mobile situe dans un environnement du second terminal |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
17P | Request for examination filed |
Effective date: 20130708 |
|
AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
DAX | Request for extension of the european patent (deleted) | ||
17Q | First examination report despatched |
Effective date: 20160418 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: EXAMINATION IS IN PROGRESS |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R003 |
|
RAP1 | Party data changed (applicant data changed or rights of an application transferred) |
Owner name: ORANGE |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE APPLICATION HAS BEEN REFUSED |
|
18R | Application refused |
Effective date: 20191218 |