Predicting Mode of Transport from iPhone Accelerometer Data
Ben Nham, Kanya Siangliulue, Serena Y. Yeung · 2012
In our project, we present a method for offline classification of transportation modes from an iPhone accelerometer. Our research may be useful for accurately predicting travel times, where automatically detecting transport mode can be used as an input into a particle filter, or for automatically classifying and logging physical activity over the course