Enables integration of sensor data with other information on servers such as social media sites to detect, confirm and/or publish events. Sensors may measure values such as motion, temperature, humidity, wind, pressure, elevation, light, sound, or heart rate, etc. Sensor data and event tags may be utilized to curate text, images, video, sound and post the results to social networks, for example in a dedicated feed. Event tags generated by the system may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags. Recommendations may be provided to a user based on analysis of sensor data and other information; recommendations may include for example recommended friends, purchases, or activities.

Enables integration of sensor data with other information on servers such as social media sites to detect, confirm and/or publish events. Sensors may measure values such as motion, temperature, humidity, wind, pressure, elevation, light, sound, or heart rate, etc. Sensor data and event tags may be utilized to curate text, images, video, sound and post the results to social networks, for example in a dedicated feed. Event tags generated by the system may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags. Recommendations may be provided to a user based on analysis of sensor data and other information; recommendations may include for example recommended friends, purchases, or activities.

Various implementations described herein are directed to a non-transitory computer readable medium having stored thereon computer-executable instructions which, when executed by a computer, may cause the computer to receive a location, a date, a wind direction, a water temperature, a species, or combinations thereof. The computer may use the location, date, wind direction, water temperature, species, or combinations thereof to retrieve fishing data. The computer may analyze the retrieved fishing data to determine one or more suggested fishing locations.

Various implementations described herein are directed to a non-transitory computer readable medium having stored thereon computer-executable instructions which, when executed by a computer, may cause the computer to receive a location, a date, a wind direction, a water temperature, a species, or combinations thereof. The computer may use the location, date, wind direction, water temperature, species, or combinations thereof to retrieve fishing data. The computer may analyze the retrieved fishing data to determine one or more suggested fishing locations.

A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags.

A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags.

Various implementations described herein are directed to a wearable device used to determine whether motion data and heart rate data correspond to a fishing activity. The wearable device may include a heart rate sensor and a motion sensor. The wearable device may include a computer system with a processor and memory. The memory may have a plurality of executable instructions. When the executable instructions are executed by the processor, the processor may receive motion data from the motion sensor, receive heart rate data from the heart rate sensor, and determine whether the received motion data and heart rate data corresponds to a fishing activity.

Various implementations described herein are directed to a wearable device used to determine whether motion data and heart rate data correspond to a fishing activity. The wearable device may include a heart rate sensor and a motion sensor. The wearable device may include a computer system with a processor and memory. The memory may have a plurality of executable instructions. When the executable instructions are executed by the processor, the processor may receive motion data from the motion sensor, receive heart rate data from the heart rate sensor, and determine whether the received motion data and heart rate data corresponds to a fishing activity.

An electronic device comprising: an internal memory which has a folder for back-up; and a first controller, wherein the first controller outputs playlists of an application to the folder for back-up of the internal memory as a playlist file when a playlist managing device is connected to the electronic device.

An electronic device comprising: an internal memory which has a folder for back-up; and a first controller, wherein the first controller outputs playlists of an application to the folder for back-up of the internal memory as a playlist file when a playlist managing device is connected to the electronic device.