Event data monitoring systems and methods
First Claim
Patent Images
1. A personal monitoring system, comprising:
- a network;
a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and
logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to predict an upcoming event based upon a plurality of sets of raw data at discrete times.
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Abstract
A personal monitoring system of the present disclosure has a network and a sensing device. The sensing device has a network interface for coupling the sensing device to the network and is coupled to a user for sensing raw data at a discrete time related to the user. Additionally, the system has logic that associates a timestamp with the raw data at the discrete time and stores the raw data as raw history data indicative of a plurality of raw data from discrete times. Further, the logic determines, based upon the raw history data, whether an event has occurred.
80 Citations
41 Claims
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1. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to predict an upcoming event based upon a plurality of sets of raw data at discrete times. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A personal monitoring method, comprising:
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coupling a sensing device to a network, the sensing device coupled to a user; sensing raw data at a discrete time related to the user; associating a timestamp with the raw data at the discrete time; storing the raw data as raw history data indicative of a plurality of raw data from discrete times; determining, based upon the raw history data, whether an event has occurred; and predicting an upcoming event based upon a plurality of sets of raw data at discrete times. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to test an event detection method using a plurality of sets of raw data at discrete times.
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32. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to compare raw data from the sensing device with a threshold value to determine whether the event has occurred.
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33. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to compare raw data from the sensing device with a threshold value to determine whether the event has occurred.
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34. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to compare raw data from the sensing device with a threshold value to determine a severity level associated with the event.
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35. A personal monitoring system, comprising:
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a network; a sensing device comprising a network interface for coupling the sensing device to the network, the sensing device coupled to a user for sensing raw data at a discrete time related to the user; and logic configured to associate a timestamp with the raw data at the discrete time and store the raw data as raw history data indicative of a plurality of raw data from discrete times and determine, based upon the raw history data, whether an event has occurred, wherein the logic is further configured to adjust a threshold corresponding to the event. - View Dependent Claims (36)
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37. A personal monitoring method, comprising:
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coupling a sensing device to a network, the sensing device coupled to a user; sensing raw data at a discrete time related to the user; associating a timestamp with the raw data at the discrete time; storing the raw data as raw history data indicative of a plurality of raw data from discrete times; determining, based upon the raw history data, whether an event has occurred; and testing an event detection method using a plurality of sets of raw data at discrete times.
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38. A personal monitoring method, comprising:
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coupling a sensing device to a network, the sensing device coupled to a user; sensing raw data at a discrete time related to the user; associating a timestamp with the raw data at the discrete time; storing the raw data as raw history data indicative of a plurality of raw data from discrete times; determining, based upon the raw history data, whether an event has occurred; and comparing raw data from the sensing device with a threshold value to determine whether the event has occurred.
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39. A personal monitoring method, comprising:
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coupling s sensing device to a network, the sensing device coupled to a user; sensing raw data at a discrete time related to the user; associating a timestamp with the raw data at the discrete time; storing the raw data as raw history data indicative of a plurality of raw data from discrete times; determining, based upon the raw history data, whether an event has occurred; and comparing raw data from the sensing device with a threshold value to determine a severity level associated with the event.
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40. A personal monitoring method, comprising:
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coupling s sensing device to a network, the sensing device coupled to a user; sensing raw data at a discrete time related to the user; associating a timestamp with the raw data at the discrete time; storing the raw data as raw history data indicative of a plurality of raw data from discrete times; determining, based upon the raw history data, whether an event has occurred; and adjusting a threshold corresponding to the event. - View Dependent Claims (41)
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Specification