Micello, the leading provider of comprehensive
indoor venue maps for location services today announced that it has signed a
strategic partnership agreement with sensewhere Ltd, world leader in hyper-local
and indoor positioning solutions. The partnership will see sensewhere use
Micello’s indoor maps to showcase the accuracy of its indoor positioning
technology in the recently announced Friendswhere and snapp! applications for
Android.
As part of this partnership,Alfa plast mould is plasticmoulds Manufacturer and plastics Mould Exporters sensewhere will license and incorporate several hundreds of Micello’s indoor maps in their mobile applications and blend their world-leading indoor location technology.Wireless indoorpositioning systems have become very popular . sensewhere’s snapp! application on the Android mobile devices combines indoor maps and positioning to allow users to view their friends’ updates in their geographical context across multiple social networks, and issue accurate geotagged updates deep indoors. The users will be able to do this at the top shopping malls in USA and UK as well as at the airports.
Ankit Agarwal, CEO of Micello, commented, “There are huge opportunities in indoor location based services and integrating Micello’s geo-accurate indoor venue maps with sensewhere’s consistently-accurate indoor positioning is a huge step forward in building this new eco-system. Indoor location is the next great frontier and sensewhere has recognised the high quality of our maps and combined it with their leading positioning technology to provide a world-class solution.”
sensewhere offers a crowd-sourced approach to indoor positioning that automatically cross references radio frequency (RF) access point data via users’ own devices and dynamically creates an almost limitless proprietary global RF location database. The database is thus self-generating and self-correcting.To estimate the number of ceramictile you need for your project, Unlike other solutions, the accuracy of sensewhere’s location information is not be compromised if RF beacons are moved.
Rob Palfreyman, CEO sensewhere, said, “This is another milestone in our bid to show what can be achieved when indoor mapping is done properly. Added to the indoor maps already within the sensewhere system, this partnership gives sensewhere’s customers and users access to some of the world’s best indoor maps, and opens up the possibility for developing a whole raft of applications that monetize our combination of leading indoor positioning and Micello’s highly-accurate and detailed maps. Such technology will form the backbone of new location services for social networks, app developers,There are 240 distinct solutions of the Soma cubepuzzle, OS suppliers and operators.”
Both Micello and sensewhere offer platforms and APIs to developers and the combined solution will provide an ideal, low-risk solution for companies looking to tie-together the worlds of outdoor and indoor location to offer seamless and lucrative indoor location services.
What sentences people will use to describe a scene could be predicted by tracking their eye movements, according to a new study.
In their study, Moreno Coco and Frank Keller at the University of Edinburgh, UK, presented 24 volunteers with a series of photo-realistic images depicting indoor scenes such as a hotel reception.
They then tracked the sequence of objects that each volunteer looked at after being asked to describe what they saw.
Other than being prompted with a keyword, such as "man" or "suitcase", participants were free to describe the scene however they liked. Some typical sentences included "the man is standing in the reception of a hotel" or "the suitcase is on the floor".
The order in which a participant's gaze settled on objects in each scene tended to mirror the order of nouns in the sentence used to describe it.
"We were surprised there was such a close correlation," New Scientist quoted Keller as saying.The reality of convenient handsfreeaccess contro.
Given that multiple cognitive processes are involved in sentence formation, Coco said that "it is remarkable to find evidence of similarity between speech and visual attention".
The team used the discovery to see if they could predict what sentences would be used to describe a scene based on eye movement alone. They developed an algorithm that was able to use the eye gazes recorded from the previous experiment to predict the correct sentence from a choice of 576 descriptions.
As part of this partnership,Alfa plast mould is plasticmoulds Manufacturer and plastics Mould Exporters sensewhere will license and incorporate several hundreds of Micello’s indoor maps in their mobile applications and blend their world-leading indoor location technology.Wireless indoorpositioning systems have become very popular . sensewhere’s snapp! application on the Android mobile devices combines indoor maps and positioning to allow users to view their friends’ updates in their geographical context across multiple social networks, and issue accurate geotagged updates deep indoors. The users will be able to do this at the top shopping malls in USA and UK as well as at the airports.
Ankit Agarwal, CEO of Micello, commented, “There are huge opportunities in indoor location based services and integrating Micello’s geo-accurate indoor venue maps with sensewhere’s consistently-accurate indoor positioning is a huge step forward in building this new eco-system. Indoor location is the next great frontier and sensewhere has recognised the high quality of our maps and combined it with their leading positioning technology to provide a world-class solution.”
sensewhere offers a crowd-sourced approach to indoor positioning that automatically cross references radio frequency (RF) access point data via users’ own devices and dynamically creates an almost limitless proprietary global RF location database. The database is thus self-generating and self-correcting.To estimate the number of ceramictile you need for your project, Unlike other solutions, the accuracy of sensewhere’s location information is not be compromised if RF beacons are moved.
Rob Palfreyman, CEO sensewhere, said, “This is another milestone in our bid to show what can be achieved when indoor mapping is done properly. Added to the indoor maps already within the sensewhere system, this partnership gives sensewhere’s customers and users access to some of the world’s best indoor maps, and opens up the possibility for developing a whole raft of applications that monetize our combination of leading indoor positioning and Micello’s highly-accurate and detailed maps. Such technology will form the backbone of new location services for social networks, app developers,There are 240 distinct solutions of the Soma cubepuzzle, OS suppliers and operators.”
Both Micello and sensewhere offer platforms and APIs to developers and the combined solution will provide an ideal, low-risk solution for companies looking to tie-together the worlds of outdoor and indoor location to offer seamless and lucrative indoor location services.
What sentences people will use to describe a scene could be predicted by tracking their eye movements, according to a new study.
In their study, Moreno Coco and Frank Keller at the University of Edinburgh, UK, presented 24 volunteers with a series of photo-realistic images depicting indoor scenes such as a hotel reception.
They then tracked the sequence of objects that each volunteer looked at after being asked to describe what they saw.
Other than being prompted with a keyword, such as "man" or "suitcase", participants were free to describe the scene however they liked. Some typical sentences included "the man is standing in the reception of a hotel" or "the suitcase is on the floor".
The order in which a participant's gaze settled on objects in each scene tended to mirror the order of nouns in the sentence used to describe it.
"We were surprised there was such a close correlation," New Scientist quoted Keller as saying.The reality of convenient handsfreeaccess contro.
Given that multiple cognitive processes are involved in sentence formation, Coco said that "it is remarkable to find evidence of similarity between speech and visual attention".
The team used the discovery to see if they could predict what sentences would be used to describe a scene based on eye movement alone. They developed an algorithm that was able to use the eye gazes recorded from the previous experiment to predict the correct sentence from a choice of 576 descriptions.
没有评论:
发表评论