Abstract: Flagging irregularities in user performance in an exercise machine system. In one aspect of the disclosure, a method may include receiving first performance parameters of a first user associated with a first exercise machine that is executing a video workout program to enable the first user to perform a workout on the first exercise machine. The method may also include detecting an irregularity in the first performance parameters that indicates a performance of the workout by the first user is different than expected. The method may further include, in response to the detecting of the irregularity, displaying a visually discernable indication with a first performance indicator of the first user to visually indicate the irregularity.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Flagging irregularities in user performance in an exercise machine system. In one aspect of the disclosure, a method may include receiving first performance parameters of a first user associated with a first exercise machine that is executing a video workout program to enable the first user to perform a workout on the first exercise machine. The method may also include detecting an irregularity in the first performance parameters that indicates a performance of the workout by the first user is different than expected. The method may further include, in response to the detecting of the irregularity, displaying a visually discernable indication with a first performance indicator of the first user to visually indicate the irregularity.

Abstract: Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Abstract: A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.