Method, device and system for the simulation of the presence of humans

Abstract

A method, device and system for simulating the presence of humans includes the method steps of defining activity attributes as input data and defining user preferences as input data. As an output, a time sequence for simulated activities is generated, while the method, device and system should provide an exceedingly realistic simulation of the presence of humans for any application where occupancy simulation is advantageous. This is reached in that user preferences are matched with attributes of activity respectively in that a control unit of a device or within a system is configured to match user preferences with attributes of activity for the generation of the sequence list for simulated activities.

Claims

1. A method for simulating a presence of humans, the method comprising: defining activity attributes of simulated activities of a user as input data; and defining user preferences as input data; wherein as an output, a time sequence for the simulated activities of the user is generated, wherein the user preferences are matched with the activity attributes for generation of the time sequence for the simulated activities, and wherein visual simulations of the simulated activities are played based on data on a visual output included in stored activities content.

2. The method according to claim 1, further comprising matching external factor data with the user preferences and the activity attributes for the generation of the time sequence for the simulated activities.

3. The method according to claim 2, wherein the generated time sequence for the simulated activities is re-constructable based on changes triggered by the external factor data.

4. The method according to claim 3, wherein upon triggering by change of the user preferences, the method steps are performed again, leading to the reconstruction of the time sequence for the simulated activities.

5. A device for implementing the method, for simulating the presence of humans, according to claim 1, the device comprising: a storage unit for storing activities content, the activity attributes, the user preferences, and external factor data; at least one of a lighting unit and an audio unit for playing, as an output, the time sequence for the simulated activities; and a control unit, wherein the control unit is configured to match the user preferences with the activity attributes for the generation of the time sequence for simulated activities; and wherein the device is configured to play visual simulations of the simulated activities based on data on a visual output included in the stored activities content.

6. The device according to claim 5, wherein the control unit is configured to further match the external factor data with the user preferences and the activity attributes.

7. A system for implementing the method, for simulating the presence of humans, thereby providing an occupancy simulation for a building or premises, according to claim 1, the system comprising: a storage unit for storing activities content, the activity attributes, the user preferences, and external data; at least one of a lighting unit and an audio unit for playing, as an output, a time sequence for the simulated activities; and a control unit, wherein the control unit is configured to match the user preferences with the activity attributes for the generation of the time sequence for simulated activities, and wherein the control unit is configured to play visual simulations of the simulated activities based on data on a visual output included in the stored activities content.

8. The system according to claim 7, wherein the control unit is configured to further match the external factor data with the user preferences and the activity attributes.

9. The method according to claim 1, wherein the visual simulations include shadow simulations.

10. The method according to claim 1, wherein the visual simulations are played when a value of an illumination sensor drops below a predetermined threshold.

11. The device according to claim 5, wherein the visual simulations include shadow simulations.

12. The device according to claim 5, wherein the visual simulations are played when a value of an illumination sensor drops below a predetermined threshold.

13. The system according to claim 7, wherein the visual simulations include shadow simulations.

14. The system according to claim 7, wherein the visual simulations are played when a value of an illumination sensor drops below a predetermined threshold.

15. A method for simulating occupancy of a building or premises, the method comprising: defining activity attributes of simulated activities of a user of the building or premises as input data; defining user preferences as input data; matching the user preferences with the activity attributes; generating a time sequence for the simulated activities of the user as an output by matching the user preferences with the activity attributes; and playing visual simulations of the simulated activities of the user based on data from visual output stored in activities content.

16. The method according to claim 15, further comprising matching external factor data with the user preferences and the activity attributes for the generation of the time sequence for the simulated activities.

17. A system for implementing the method, for simulating the presence of humans, thereby providing an occupancy simulation for a building or premises, according to claim 15, the system comprising: a plurality of coupled interacting devices; and at least one communication element, wherein each device of the plurality of coupled interacting devices includes a storage unit for storing the activities content, the activity attributes, the user preferences, and external factor data; at least one of a lighting unit or an audio unit for playing, as an output, the time sequence for the simulated activities; and a control unit, wherein the control unit is configured to match the user preferences with the activity attributes for the generation of the time sequence for simulated activities; and wherein the device is configured to play visual simulations of the simulated activities based on data on a visual output included in the stored activities content.

18. The system according to claim 17, wherein the at least one communication element is at least one of a server and an application programming interface (API).

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) A preferred exemplary embodiment of the subject matter of the invention is described below in conjunction with the attached drawings.

(2) FIG. 1 shows a generalized flowchart of a method of a preferred embodiment of the security device according to the present invention;

(3) FIG. 2 shows a more detailed flowchart of the method of a preferred embodiment of the security device according to the present invention;

(4) FIG. 3 shows a schematic view of a preferred embodiment of the security device according to the present invention;

(5) FIG. 4 shows a schematic view of a preferred embodiment the system with multiple devices according to the present invention.

DESCRIPTION

(6) FIG. 1 shows a generalized flowchart of a method of a preferred embodiment of the security device according to the present invention.

(7) The method comprises a method step, wherein user preferences are matched with attributes of activity for the generation of a time sequence for simulated activities by means of a dedicated matcher algorithm. Preferably, the method further includes a further method step, wherein external factor data are further matched with the user preferences and the attributes of activity.

(8) FIG. 2 shows a more detailed flowchart of the method of the preferred embodiment of the security device according to the present invention.

(9) The following table 1 shows examples of activity attribute and user preferences correlated to function of the matcher algorithm:

(10) TABLE-US-00001 Matcher algo- rithm Score Activity attributes User External No. (f.sub.i) (S.sub.i) (on the device side) preferences data 1 f1 ∞ language language 2 f2 1 tags tags 3 f3 1 type type 4 f4 1 environment environment 5 f5 1 room type room type 6 f6 1 time, day of week, location local date, likelihood time 7 f7 1 geographic data location, local time zone date, time 8 f8 1 weather weather data 9 f9 1 composition illumination sensor 10 f10 1 cooldown 11 f11 1 minimum break period 12 f12 length 13 N/A N/A volume volume 14 N/A N/A brightness brightness level 15 N/A N/A illumination illumination threshold sensor

(11) As can be seen from the table 1 above, the matcher algorithm of the method of the present invention is able to decide, based on the activity attribute respectively user preference, the processing and prioritizing of the data. The output of the method of the present invention is a time sequence of simulated activities. Moreover, it can be seen that the matcher algorithm may be understood as a plurality of functions f.sub.i which are preferably defined for every condition.

(12) A possible implementation of the method according to the present invention, based e.g. on a score function, can be described as follows:

(13) Step A: providing a database of all potential activities;

(14) Step B: selecting from the database all of the activities matching the selected language of the user, resulting in a first list (i) of activities;

(15) Step C: Adding a weighted score s.sub.i for each of the conditions (2) to (5) according to table 1, and each of the selected activities of the first list (i). In other words, user preferences are matched with activity attributes in this method step.

(16) Step D: Sorting such first list (i) by the score and a number of activities with the best score are selected (filtering), resulting in a second list (ii) of activities;

(17) Step E: Constructing a time sequence of activities (iii) based on the second list (ii) of activities, wherein each activity in the second list (ii) might be repeatedly selected to put on the time sequence (iii). Within the meaning of the present invention, the selection of which activity to put at each time slot of the sequence is evaluated by the conditions specified in (6) to (12) of table 1, in that each satisfied condition contributes a score s.sub.i to the selection of the activity. This selection repeats until the length of the time sequence is filled, i.e. if, for example, a certain maximum time length is reached (e.g. 7 days of absence of the user respectively owner of the device). In other words, preferably, external factor data are further matched with the user preferences and the attributes of activity according to method step E.

(18) Step F: playing sequentially each of the activities in the generated time sequence (iii), being adjusted to the settings respectively conditions as specified from (13) to (15) according to table 1.

(19) Step G: After having finished playing each activity of the time sequence (iii), or by a trigger from external data, the time sequence (iii) of activities may be reconstructed adjusting to any new changes of the conditions (6) to (12).

(20) Step H: Optionally, triggered by changing the user preferences, the method steps A to D may be performed newly, leading to the reconstruction of the sequence (iii) of activities.

(21) The conditions No. (1) to (15) as defined in table 1 are further explained and exemplified as follows:

(22) (1): All activities may be matched by function f1 corresponding to the language set by the user (i.e. user preference).

(23) (2): “tags” may be understood as kind of context of the activity which the user respectively owner of the device likes, for example [DOG, CAT, FAMILY, ANIMAL, . . . ]. Preferably, the dedicated function f2 is defined in way to partly match activity attributes in respect of the user preference depending on the similarities between the kind of context of activities.

(24) (3): “type” may be understood as type of the activity which the user respectively owner of the device likes, for example [ENTERTAINMENT, WORK, CHORES, COOKING, HYGIENE, ANIMAL, SPORT, . . . ]. Preferably, the dedicated function f3 is defined in the way of partly matching (like f2).

(25) (4): “environment” may be understood as the area where the user respectively owner of the device is living and the device is used respectively placed, for example [URBAN, SUB_URBAN, VILLAGE, REMOTE, . . . ]. Preferably, the dedicated function f4 is defined in the way of partly matching. For example, contexts of activities like URBAN can also be matched with user preferences of SUB_URBAN.

(26) (5): “room type” may be understood as the placement of the device within the home of the user respectively owner, for example [BEDROOM, LIVING ROOM, CORRIDOR, KITCHEN, OFFICE, . . . ]. Preferably, the dedicated function f5 is defined in the way of partly matching. For example, attributes of activities of LIVING ROOM can also be matched to user preferences of CORRIDOR.

(27) (6): “time, day of week, likelihood” may be understood as the day and (day) time related probability of occurrence of certain activities and the likelihood of repetition. For example, showering and playing music normally does not happen at night, cooking normally does not happen more than three times per day, or certain activities are more likely to happen on the weekend. Preferably, the dedicated function f6 is defined in the way of partly matching.

(28) (7): “geographic data” may be understood as day and (day) time related occurrence of activities related to the geographic location, i.e. time zone and latitude. For example, the occurrence of visual simulations has to be adjusted with respect to changes in day length related to the latitude and/or seasons. Preferably, the dedicated function f7 is defined in the way of partly matching.

(29) (8): “weather” may be understood as the consultation of weather data. For example, simulation of more visual activities gaining preference on a stormy or overcast day, the impression of presence is maximised. Preferably, the dedicated function f8 is defined in the way of partly matching.

(30) (9): “composition” may be understood as adjusting the output type of the activities for time sequence (iii) creation based on the data of the illumination sensor, for example [VISUAL, AUDIO, BOTH]. As an example, in a dark environment, activities with visual content are preferably selected more frequently than activities only with audio content, since it reflects normal people's behaviour to turn lights on when it is dark. Preferably, the dedicated function f9 is defined in a way to provide the best selection of the composition.

(31) (10): “cooldown” may be understood as preventing the same activity to be scheduled again before its cooldown period is over. For example, people will not take another shower right after just having had a shower. Preferably, the dedicated function f10 is defined in a way not to select the same kind of activity depending on the cooldown period.

(32) (11): “minimum break period” may be understood as having a minimum break period before a next activity is scheduled. For example, people would likely rest some minutes after a shower. Preferably, the dedicated function f11 is defined in a way not to select any activities depending on the minimum break.

(33) (12): “length” may be understood that in case of a temporarily limited simulation time, the activities and schedule of activities will be built in regards to that. For example, if the simulation is scheduled to run for 30 minutes, the algorithm will not start/play a 3 hours activity. Preferably, the dedicated function f12 is defined in a way to select activities fitting to the simulation time.

(34) (13): “volume” may be understood as adjusting the audio volume of the playback according to the preferred volume of the user respectively owner of the device.

(35) (14): “brightness” may be understood as setting the brightness level according to the preferred brightness of the user respectively owner of the device.

(36) (15): “illumination threshold” may be understood as activating the visual part of the playback if the value of the illumination sensor drops below a certain threshold for a certain amount of time disregarding the time of the day.

(37) As a further option, the user can feedback whether the simulated activities are realistic or not with the advantage that the feedbacks will help refine the corresponding user preferences and activity attributes.

(38) FIG. 3 shows a schematic view of a preferred embodiment of the security device 1 according to the present invention, wherein the security device 1 is, in principle, one integrated device capable of fulfilling the method according to the present invention. The security device 1 may comprise a control unit 5, a storage unit 10, a, preferably multi-colour, lighting unit 15 and an audio unit 20. As indicated in FIG. 3, preferably, the control unit 5 of the device 1 is configured and capable of carrying out the whole method according to the present invention, i.e. generating the first list (i), the second list (ii) and the time sequence (iii) of activities. The device may further comprise a Wifi (or other connectivity) module 11 enabling the communication within a wired (i.e. local LAN) or wireless network environment via an Internet router 12 and, thereby, capable e.g. for receiving program updates from a server 4. The storage unit 10 is preferably capable for storing such program updates, activities contents, activities attributes, user preferences, external data etc. Preferably, the control unit 5 respectively lighting unit 15 is coupled functionally with an illumination sensor 16 in order to activate the visual part of the playback if the value of the illumination sensor drops below a certain threshold.

(39) FIG. 4 shows a schematic view of a preferred embodiment the system with multiple devices according to the present invention.

(40) As exemplified in FIG. 4, each unit in the system may be responsible of at least one part of the method. Preferably, the system comprises a server 4 (or multiple servers), wherein the server 4 comprises its own control unit 5 and storage unit 10 and runs a part of or the whole part of the method according to the present invention. As indicated in FIG. 4, the control unit 5 of the server 4 is configured here to run process steps A to D generating the list (i) and list (ii) (see implementation of the method according to FIG. 2). Several devices capable of a visual and/or audio simulation may be running part or the whole of the method, such as the devices 1; 1′. The server 4 may be configured for transmitting the generated list (ii) to the devices 1; 1′.

(41) According to the system as shown in FIG. 4, a server 4 may be part of wired (i.e. local LAN) or a wireless network environment (e.g. a cloud) interacting via the Internet I and an Internet router 12 with the devices 1; 1′. Device 1 may comprise a Wifi module 11 enabling the communication within the wireless network environment, and an audio unit 20.

(42) In one example, the devices 1 and the device 1′ further comprises a control unit 5 and a storage unit 10, wherein the control unit 5 is configured and capable of carrying out part of the method according to the present invention, i.e. generating time sequence (iii) of activities based on the received second list (ii).

(43) Device 1′ may comprise a Wifi (or other connectivity) module 11 enabling the communication within the wired or wireless network environment, and a, preferably multi colour, lighting unit 15. Preferably, such lighting unit 15 is coupled functionally via the control unit 5 with an illumination sensor 16 in order to activate the visual part of the playback if the value of the illumination sensor 16 drops below a certain threshold.

LIST OF REFERENCE NUMERALS

(44) 1; 1′ Security device 4 (Cloud) Server 5 Control unit 10 Storage unit 11 Wifi module 12 Internet router 15 (Multi colour) lighting unit 16 Illumination sensor 20 Audio unit i First list of activities ii Second list of activities iii Time sequence of activities I Internet s.sub.i Score