Apex Ip
Founder and Lead Consultant
Concert Technology Corporation 2007 - 2009
Corporate Counsel
Nortel 2006 - 2008
In-House Counsel
Sughrue Mion Pllc 1998 - 2005
Attorney
Education:
Tulane University Law School 1991 - 1992
Masters, Master of Laws, Law
New England Law | Boston 1987 - 1990
Doctor of Jurisprudence, Doctorates, Law
Lafayette College 1981 - 1985
Bachelor of Science In Mechanical Engineering, Bachelors, Engineering
Systems and methods for providing passive crowd-sourced alternate route recommendations. In one embodiment, locations of users of a number of mobile location-aware devices are tracked over time. Upon receiving a request, users of mobile location-aware devices that have traveled from a desired start location to a desired stop location are identified. Location histories for the identified users are analyzed to determine one or more different routes taken from the desired start location to the desired stop location. The one or more different routes, or a select subset thereof, are then returned to the requestor as recommended alternate routes.
Crowd Formation Based On Physical Boundaries And Other Rules
Steven L. Petersen - Los Gatos CA, US Eric P. Halber - Apex NC, US Eugene Matthew Farrelly - Cary NC, US
Assignee:
WALDECK TECHNOLOGY, LLC - Wilmington DE
International Classification:
G06F 15/16
US Classification:
709204
Abstract:
The present disclosure relates to forming crowds of users taking into account known physical boundaries. In general, current locations of a number of users are obtained. A crowd of users is then formed based on the current locations of the users while taking into account one or more known physical boundaries such that the crowd does not include spatially proximate users on opposite sides of the one or more known physical boundaries. By utilizing known physical boundaries in a spatial crowd formation process, users that are spatially proximate to one another but are separated by a physical boundary are not included in the same crowd. In this manner, the spatial crowd formation process provides accurate and meaningful crowd formation in environments such as, but not limited to, buildings with multiple rooms, shopping malls, or the like.
Crowd Formation Based On Physical Boundaries And Other Rules
- , unknown Eric P. Halber - Morrisville NC, US Eugene Matthew Farrelly - Cary NC, US
International Classification:
H04L 29/06
US Classification:
709204
Abstract:
The present disclosure relates to forming crowds of users taking into account known physical boundaries. In general, current locations of a number of users are obtained. A crowd of users is then formed based on the current locations of the users while taking into account one or more known physical boundaries such that the crowd does not include spatially proximate users on opposite sides of the one or more known physical boundaries. By utilizing known physical boundaries in a spatial crowd formation process, users that are spatially proximate to one another but are separated by a physical boundary are not included in the same crowd. In this manner, the spatial crowd formation process provides accurate and meaningful crowd formation in environments such as, but not limited to, buildings with multiple rooms, shopping malls, or the like. Crowd data representing users in the formed crowd is generated.
Crowd Formation Based On Physical Boundaries And Other Rules
- Wilmington DE, US Eric P. Halber - Morrisville NC, US Eugene Matthew Farrelly - Cary NC, US
International Classification:
H04W 4/04 H04L 29/08
Abstract:
The present disclosure relates to forming crowds of users taking into account known physical boundaries. In general, current locations of a number of users are obtained. A crowd of users is then formed based on the current locations of the users while taking into account one or more known physical boundaries such that the crowd does not include spatially proximate users on opposite sides of the one or more known physical boundaries. By utilizing known physical boundaries in a spatial crowd formation process, users that are spatially proximate to one another but are separated by a physical boundary are not included in the same crowd. In this manner, the spatial crowd formation process provides accurate and meaningful crowd formation in environments such as, but not limited to, buildings with multiple rooms, shopping malls, or the like. Crowd data representing users in the formed crowd is generated.
Passive Crowd-Sourced Map Updates And Alternate Route Recommendations
- Wilmington DE, US Eric P. Halber - Morrisville NC, US Gregory M. Evans - Raleigh NC, US Steven L. Petersen - Los Gatos CA, US
International Classification:
G01C 21/34 H04W 4/02
Abstract:
Systems and methods for providing passive crowd-sourced alternate route recommendations are disclosed. In one embodiment, locations of users of a number of mobile location-aware devices are tracked over time. Upon receiving a request, users of mobile location-aware devices that have traveled from a desired start location to a desired stop location are identified. At least one of the different routes taken by one or more users from the desired start location to the desired stop location is provided to the requestor as at least one recommended alternate route. The different routes taken by the one or more users from the desired start location to the desired stop location include routes taken that begin before the desired start location and go through the start location and routes taken that stop beyond the desired stop location and go through the desired stop location