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Turning raw SenseCam accelerometer data into meaningful user activities

Zhengwei Qiu,Aiden Doherty,Cathal Gurrin,Alan F. Smeaton-2010-01-01-Arrow@dit (Dublin Institute of Technology)

TL;DRAbstract

The onboard accelerometer is one of the most important sensors in the SenseCam, where it can influence the quality of photos captured by choosing the optional time to take pictures. Compared with other sensors, there are a number of advantages that the accelerometer has:
\nAcceleration data is easy to be stored and processed, especially in comparison to the average of 4,000 images taken every day by the SenseCam which consume an amount of disk space. Acceleration data takes little space, and can be processed by the SenseCam’s on-board micro-processer in real-time. 
\nThe most important information from SenseCam is image data, but it is difficult to take a clear photo when the user is moving very fast or is present in dark places, the accelerometer helps to avoid the problem of blurred image capture. 
\nNo wireless signals are needed. While GPS techniques have been improved a lot in the past decade, determining location of the inside of buildings is limited by no clear line

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The onboard accelerometer is one of the most important sensors in the SenseCam, where it can influence the quality of photos captured by choosing the optional time to take pictures. Compared with other sensors, there are a number of advantages that the accelerometer has:
\nAcceleration data is easy to be stored and processed, especially in comparison to the average of 4,000 images taken every day by the SenseCam which consume an amount of disk space. Acceleration data takes little space, and can be processed by the SenseCam’s on-board micro-processer in real-time. 
\nThe most important information from SenseCam is image data, but it is difficult to take a clear photo when the user is moving very fast or is present in dark places, the accelerometer helps to avoid the problem of blurred image capture. 
\nNo wireless signals are needed. While GPS techniques have been improved a lot in the past decade, determining location of the inside of buildings is limited by no clear line

Keywords

AccelerometerComputer scienceGlobal Positioning SystemLifelogAccelerationBattery (electricity)Computer visionArtificial intelligence

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