SPACE-TIME TRAIL ANNOTATION AND RECOMMENDATION
Space-time trails are annotated automatically and/or manually with meaningful information. Mechanisms are provided for receipt of implicit and/or passive data (e.g., provided by sensors) as well as explicit and/or active data (e.g., provided by users). Extraction techniques are provided to either or both types of data to produce useful information to annotate or otherwise interpret data associated with a space-time trail. Persisted annotated trails can subsequently be employed to glean valuable information. Furthermore, goal-directed recommendations can be generated with respect to annotated trails, among other things.
1 . A space-time trail annotation system, comprising:
a receiver component that receives sensor data; and
an annotation component that automatically annotates a space-time trail with information derived from the sensor data.
2 . The system of claim 1 , further comprising a mining component that employs one or more data mining algorithms over the sensor and/or other stored data to extract the annotation information.
3 . The system of claim 1 , further comprising a capture component that captures and provides sensor data to the receiver component.
4 . The system of claim 3 , the capture component forms part of a mobile device including at least one of a mobile phone, personal digital assistant and media player.
5 . The system of claim 1 , further comprising an interface component that facilitates active route annotation by a user.
6 . The system of claim 1 , further comprises a recommendation component that employs one or more collaborative filters and/or matching techniques to generate one or more trail recommendations.
7 . The system of claim 6 , the recommendation component generates one or more goal-directed trail recommendations.
8 . The system of claim 1 , further comprising an interface component that renders annotated paths.
9 . The system of claim 1 , further comprising a context component that supplies context information to the annotation component for use in route annotation.
10 . The system of claim 1 , the space-time trail is a digital trace.
11 . A system that facilitates route annotation, comprising:
means for receiving data associated with user state and location; and
means for automatically annotating a route with information derived from the data.
12 . The system of claim 11 , further comprising a means for affording at least one goal-directed recommendation based on route annotation.
13 . A method for annotating physical routes, comprising:
receiving sensor data indicative of user state, environmental state and geographical location;
extracting meaningful information from the data; and
annotating a route automatically with the extracted information.
14 . The method of claim 13 extracting meaningful information, comprising executing of one more data mining algorithms.
15 . The method of claim 14 , further comprising executing one or more of an algorithm that extracts a person's pace, road surface smoothness and/or cycling cadence from raw acceleration data.
16 . The method of claim 14 , further comprising executing an algorithm that extracts a person's heart rate from raw ECG data.
17 . The method of claim 14 , further comprising persisting annotated routes to a network accessible database.
18 . The method of claim 17 , further comprising displaying the annotated routes to users in accordance with associated permissions.
19 . The method of claim 1 , further comprising generating route recommendations based on user performance goals and/or user profile.
20 . The method of claim 19 , further comprising generating route recommendations based on context information associated with the user, location and/or third-party events.