Advancing Objective Assessment of Physical Activity and Sedentary Behavior provides an overview of machine learning, which involves using a mathematical and statistical analysis as a means to assess physical activity and inactivity. The DVD also reviews how machine learning, in an adapted laboratory environment, can be used to explain bodily responses to sedentary behavior and physical activity. In addition, the DVD discusses the use of mobile devices to self- report activity in intervention studies. In that regard, the DVD explores the fact that these devices are increasingly capable of sophisticated, real-time information processing and that most people have ready access to these technologies.
Among the topics covered:
• What is machine learning and how is it applied to assessment of activity and inactivity? (John Staudenmeyer)
• Two better summaries of acceleration
• Applyingmachinelearninginfree-livingsettings: problems, progress, and potential (Kate Lyden)
• Adapted laboratory neural network
• Combining passive mobile sensing and context-sensitive self-report for activity assessment in intervention studies (Stephen Intille)
• Prototype: wockets system