System and method for wireless location
Systems and methods for wireless location are disclosed. In one aspect, a method for wireless location includes collecting signal strength values from one or more nodes (e.g., mobile devices) in an area over a time interval. The nodes receive wireless signals from one or more other transmitting nodes, where the signal strength values are representative of the signal strengths of the wireless signals. The method further includes normalizing the collected signal strength values and evaluating respective locations within the area of the nodes based on the normalized signal strength values. In a further aspect, the evaluated locations of the nodes may be used to execute an automated light show over the area, by instructing the nodes to display certain color or pattern at their locations in the area.
1. A method for wireless location, comprising:
receiving measurements of a plurality of signal strength values from a plurality of nodes over a time interval, wherein the signal strength values are representative of signal strengths of respective plurality of wireless signals transmitted by at least one of the nodes to at least one other of the nodes, wherein each of the nodes comprises a different mobile device, and wherein the nodes are located in an area;
normalizing the signal strength values, wherein the normalizing comprises normalizing the signal strength values with a normalization function, wherein the normalization function is based on a fit of previously collected signal strength values to a pre-determined normalization range within the area;
evaluating respective locations within the area of the nodes based on the normalized signal strength values, wherein the evaluating comprises evaluating using machine learning technique on the normalized signal strength values, wherein the machine learning technique is trained to minimize an error to the locations, and wherein the machine learning technique comprises a self-organizing map (SOM);
orienting the locations to an orientation representative of an orientation of the nodes using one or more of a singular value decomposition and a wireless location technique; and
transmitting respective data to at least one of the nodes for autonomously controlling respective a display of the at least one node based on the data and a location of the at least one node, and wherein the autonomously controlling is not responsive to user input,
wherein the area includes an indoor facility less than 40 m by 40 m, and
wherein a distance between at least two of the nodes is less than 5 m.
2. The method of claim 1 , wherein at least one of the nodes include a different type of equipment for transmitting or receiving the wireless signal than at least one other of the nodes.
3. The method of claim 1 , wherein the wireless signals comprise BLUETOOTH signals.
4. The method of claim 1 , wherein the wireless signals comprise wireless signals of communication in a mesh network, and wherein at least two of the nodes are part of the mesh network.
5. The method of claim 4 , wherein the evaluating is performed by the mesh network.
6. The method of claim 1 , wherein the previously collected signal strength values are collected from nodes with similar types of wireless equipment as the nodes for transmitting or receiving the wireless signals.
7. The method of claim 1 , wherein the fit comprises an exponential fit.
8. The method of claim 1 , wherein the normalization function is based on a fit of averages of the previously collected signal strength values of nodes at a substantially same distance.
9. The method of claim 1 , wherein the transmitting is synchronized with music playing in the area in substantially real-time.
10. A method for wireless location, comprising:
receiving measurements of a plurality of signal strength values from a plurality of nodes over a time interval, wherein the signal strength values are representative of signal strengths of respective plurality of wireless signals transmitted by at least one of the nodes to at least one other of the nodes, wherein each of the nodes comprises a different mobile device, and wherein the nodes are located in an area;
normalizing the signal strength values, wherein the normalizing comprises normalizing the signal strength values with a normalization function, wherein the normalization function is based on a fit of previously collected signal strength values to a pre-determined normalization range within the area;
evaluating respective locations within the area of the nodes based on the normalized signal strength values, wherein the evaluating comprises evaluating using machine learning technique on the normalized signal strength values, wherein the machine learning technique is trained to minimize an error to the locations, and wherein the machine learning technique comprises a self-organizing map (SOM);
orienting the locations to an orientation representative of an orientation of the nodes using one or more of a singular value decomposition and a wireless location technique;
transmitting respective data to at least one of the nodes for autonomously controlling respective a display of the at least one node based on the data and a location of the at least one node, and wherein the autonomously controlling is not responsive to user input; and
transmitting respective data to another at least one of the nodes for autonomously controlling a display of the another at least one node based on the data and a location of the another at least one node,
wherein the autonomously controlling of the display of the another at least one node is not responsive to user input,
wherein the display of the at least one node and the display of the another at least one node is different based on different locations of the at least one node and the another at least one node,
wherein the area includes an indoor facility less than 40 m by 40 m, and
wherein a distance between at least two of the nodes is less than 5 m.
11. The method of claim 10 , wherein at least one of the nodes include a different type of equipment for transmitting or receiving the wireless signal than at least one other of the nodes.
12. The method of claim 11 , wherein the wireless signals comprise BLUETOOTH signals.
13. The method of claim 10 , wherein the wireless signals comprise wireless signals of communication in a mesh network, and wherein at least two of the nodes are part of the mesh network.
14. The method of claim 13 , wherein the evaluating is performed by the mesh network.
15. The method of claim 10 , wherein the previously collected signal strength values are collected from nodes with similar types of wireless equipment as the nodes for transmitting or receiving the wireless signals.
16. The method of claim 10 , wherein the fit comprises an exponential fit.
17. The method of claim 10 , wherein the normalization function is based on a fit of averages of the previously collected signal strength values of nodes at a substantially same distance.
18. The method of claim 10 , wherein the transmitting is synchronized with music playing in the area in substantially real-time.
19. The method of claim 18 , wherein the controlling is based on a rhythm of the music.
20. A method for wireless location, comprising:
receiving measurements of a plurality of signal strength values from a plurality of nodes over a time interval, wherein the signal strength values are representative of signal strengths of respective plurality of wireless signals transmitted by at least one of the nodes to at least one other of the nodes, wherein each of the nodes comprises a different mobile device, and wherein the nodes are located in an area;
normalizing the signal strength values, wherein the normalizing comprises normalizing the signal strength values with a normalization function, wherein the normalization function is based on a fit of previously collected signal strength values to a pre-determined normalization range within the area;
evaluating respective locations within the area of the nodes based on the normalized signal strength values, wherein the evaluating comprises evaluating using machine learning technique on the normalized signal strength values, wherein the machine learning technique is trained to minimize an error to the locations, and wherein the machine learning technique comprises a self-organizing map (SOM);
orienting the locations to an orientation representative of an orientation of the nodes using one or more of a singular value decomposition and a wireless location technique; and
transmitting respective data to at least one of the nodes for autonomously controlling respective a display of the at least one node based on the data and a location of the at least one node, and wherein the autonomously controlling is not responsive to user input,
wherein the transmitting is synchronized with music playing in the area in substantially real-time,
wherein the controlling is based on a rhythm of the music,
wherein the area includes an indoor facility less than 40 m by 40 m, and
wherein a distance between at least two of the nodes is less than 5 m.