PHYSICAL ENVIRONMENT PROFILING THROUGH INTERNET OF THINGS INTEGRATION PLATFORM

• US 20150019714A1
• Filed: 06/25/2014
• Published: 01/15/2015
• Est. Priority Date: 07/11/2013
• Status: Active Grant

• Current Assignee: Neura Inc (Otonomo Technologies Ltd.)
• Original Assignee: Neura Inc (Otonomo Technologies Ltd.)
• Inventors: Shaashua, Triinu Magi, Shaashua, Ori
• Granted Patent: US 9,871,865 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 12/2818 from a device located outside both the home and the home network access arrangements H04L12/2856; for remote control or remote monitoring of applications H04L67/025; arrangements for transmitting signals characterised by the use of a wireless eletrical link G08C17/00; telephonic communication systems adapted for combination with remote control systems H04M11/007
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/54 Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

A method of profiling a physical environment via Internet of Things (IoT) devices connected via an IoT integration platform is disclosed. The method includes: receiving data streams from network-capable devices connected to the IoT integration platform; detecting presence of an entity in a physical environment surrounding or interacting with one or more of the network-capable devices from a subset of the data streams; storing an entity profile on a node graph representing the physical environment, wherein each entity profile is associated at least one of the network-capable device from which the presence is detected; and requesting a semantic label of the entity profile from a user of a first user account via one or more user interfaces.

Claims

1. A method of profiling a physical environment via Internet of Things (IoT) devices connected via an IoT integration platform, comprising:

receiving data streams from network-capable devices connected to the IoT integration platform;

detecting presence of an entity in a physical environment surrounding or interacting with one or more of the network-capable devices from a subset of the data streams;

storing an entity profile on a node graph representing the physical environment, wherein each entity profile is associated at least one of the network-capable device from which the presence is detected; and

requesting a semantic label of the entity profile from a user of a first user account via one or more user interfaces.

2. The method of claim 1, further comprising storing the semantic label in a semantic label cluster for the entity profile, wherein the semantic label cluster includes semantic labels from multiple user accounts.

3. The method of claim 1, further comprising performing semantic analysis of the presence of the entity in relation to the first user account;

wherein requesting the semantic label includes presenting semantic label choices for selection based on the semantic analysis.

4. The method of claim 1, wherein requesting the semantic label includes presenting semantic label choices for selection based on an existing semantic label set by a second user account.

5. The method of claim 1, wherein detecting the presence of the entity includes recognizing a separate entity from a measurable observation of the physical environment by at least one of the network-capable devices.

6. The method of claim 1, wherein detecting the presence of the entity includes recognizing the entity of which at least one of the network-capable devices has interacted with.

7. The method of claim 1, wherein detecting the presence of the entity includes recognizing the entity of which is referenced by a user-reported activity through at least one of the network-capable devices.

8. The method of claim 1, further comprising associating the entity profile with another entity profile in the node graph, wherein the another entity profile is other than the at least one of the network-capable devices.

9. The method of claim 8, wherein associating the entity profile with the another entity profile is based on the semantic label from the user account.

10. The method of claim 8, wherein associating the entity profile with the another entity profile is based on the subset of the data streams.

11. The method of claim 8, wherein associating the entity profile with the another entity profile is based on a data communication from an external media system.

12. The method of claim 8, wherein associating the entity profile with the another entity profile in the node graph is based on a physical proximity, an ownership relationship, a containment relationship, a common functionality, a shared context, an interaction history, a social relationship, or any combination thereof.

13. The method of claim 1, wherein each node in the node graph includes an edge to another node, a semantic label, an activity history, an activity or functional context, a relevant data insight related to the node, or any combination thereof.

14. The method of claim 1, wherein the one or more of the network-capable devices are connected to the IoT integration platform through an integration application capable of communicating via a local network via different device interfaces.

15. A method of profiling a physical environment via Internet of Things (IoT) devices connected via an IoT integration platform, comprising:

receiving data streams from network-capable devices connected to the IoT integration platform;

detecting presence of an entity in a physical environment surrounding or interacting with one or more of the network-capable devices from a subset of the data streams;

matching a characteristic of the entity to entity profiles stored on a node graph to select an entity profile to update; and

updating the entity profile and the node graph based on the subset of the data streams.

16. The method of claim 15, wherein a user profile of the user account is stored on the node graph;

and the user account is restricted to access a subset of the node graph within a certain distance from the user profile.

17. The method of claim 15, wherein each node in the node graph represents multiple semantic labels.

18. The method of claim 15, wherein updating the entity profile includes updating a semantic label, an activity context, a correlative insight relevant to a user account, or any combination thereof.

19. The method of claim 15, wherein the entity profile is directly associated with a user account;

and wherein the entity profile is updated based on the subset of the data streams from network-capable devices which are not owned by the user account.

20. The method of claim 15, further comprising:

updating multiple entity profiles detected from the same subset of the data streams; and

mutually associating the multiple entity profiles.

21. A computer-implemented Internet of Things (IoT) integration platform system for profiling a physical environment via IoT devices connected to the IoT integration platform system, the IoT integration platform system comprising:

a processor; and

a tangible storage medium comprising instructions stored thereon, where the instructions, when executed by the processor, is configured to;

receive data streams from network-capable devices connected to the IoT integration platform;

detect presence of an entity in a physical environment surrounding or interacting with one or more of the network-capable devices from a subset of the data streams;

match characteristics of the entity to entity profiles stored on a node graph to select an entity profile; and

update the entity profile and the node graph based on the subset of the data streams.