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    • 1. 发明申请
    • Crowd Formation Based On Physical Boundaries And Other Rules
    • 基于物理边界和其他规则的人群形成
    • US20160205512A1
    • 2016-07-14
    • US15079779
    • 2016-03-24
    • Waldeck Technology, LLC
    • Steven L. PetersenEric P. HalberEugene Matthew Farrelly
    • H04W4/04H04L29/08
    • H04L67/306G06F16/9535G06Q30/02H04L65/403H04L67/22H04W4/021
    • 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.
    • 本公开涉及在考虑已知物理边界的情况下形成用户群体。 通常,获得多个用户的当前位置。 然后基于用户的当前位置形成用户群体,同时考虑到一个或多个已知物理边界,使得人群不包括在一个或多个已知物理边界的相对侧上的空间上邻近的用户。 通过在空间人群形成过程中利用已知的物理边界,在空间上彼此接近但被物理边界分开的用户不包括在同一群体中。 以这种方式,空间人群形成过程在诸如但不限于具有多个房间,商场等的建筑物的环境中提供准确和有意义的人群形成。 生成表示形成人群中的用户的人群数据。
    • 2. 发明授权
    • Crowd formation based on physical boundaries and other rules
    • 基于物理边界和其他规则的人群形成
    • US09300704B2
    • 2016-03-29
    • US14028863
    • 2013-09-17
    • WALDECK TECHNOLOGY, LLC
    • Steven L. PetersenEric P. HalberEugene Matthew Farrelly
    • H04L29/06G06F17/30G06Q30/02
    • H04W4/04G06F17/30867G06Q30/02H04L65/403H04L67/22H04L67/306
    • 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.
    • 本公开涉及在考虑已知物理边界的情况下形成用户群体。 通常,获得多个用户的当前位置。 然后基于用户的当前位置形成用户群体,同时考虑到一个或多个已知物理边界,使得人群不包括在一个或多个已知物理边界的相对侧上的空间上邻近的用户。 通过在空间人群形成过程中利用已知的物理边界,在空间上彼此接近但被物理边界分开的用户不包括在同一群体中。 以这种方式,空间人群形成过程在诸如但不限于具有多个房间,商场等的建筑物的环境中提供准确和有意义的人群形成。 生成表示形成人群中的用户的人群数据。
    • 3. 发明申请
    • Crowd Formation Based On Physical Boundaries And Other Rules
    • 基于物理边界和其他规则的人群形成
    • US20140019554A1
    • 2014-01-16
    • US14028863
    • 2013-09-17
    • WALDECK TECHNOLOGY, LLC
    • Steven L. PetersenEric P. HalberEugene Matthew Farrelly
    • H04L29/06
    • H04W4/04G06F17/30867G06Q30/02H04L65/403H04L67/22H04L67/306
    • 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.
    • 本公开涉及在考虑已知物理边界的情况下形成用户群体。 通常,获得多个用户的当前位置。 然后基于用户的当前位置形成用户群体,同时考虑到一个或多个已知物理边界,使得人群不包括在一个或多个已知物理边界的相对侧上的空间上邻近的用户。 通过在空间人群形成过程中利用已知的物理边界,在空间上彼此接近但被物理边界分开的用户不包括在同一群体中。 以这种方式,空间人群形成过程在诸如但不限于具有多个房间,商场等的建筑物的环境中提供准确和有意义的人群形成。 生成表示形成人群中的用户的人群数据。