- #1
Jakeun
- 1
- 0
Hi everyone,
I am currently trying to recognize different activities such as walking, sitting and falling, using a watch which features a 3 axis accelerometer. Currently I have performed 1 minute tests of each activity 20 times but I am struggling on what to do with the data. Does anyone have any suggestions?
I have tried to FFT the data but do not have any decent peaks to establish a difference among the activities. Maybe I should apply a high or low pass filter?
ANY suggestions or advice would be greatly appreciated as I am really struggling with this.
Thank you
I am currently trying to recognize different activities such as walking, sitting and falling, using a watch which features a 3 axis accelerometer. Currently I have performed 1 minute tests of each activity 20 times but I am struggling on what to do with the data. Does anyone have any suggestions?
I have tried to FFT the data but do not have any decent peaks to establish a difference among the activities. Maybe I should apply a high or low pass filter?
ANY suggestions or advice would be greatly appreciated as I am really struggling with this.
Thank you