Error in RRA/CMC
Posted: Wed Jun 22, 2011 2:22 pm
Hi!
I'm trying to estimate muscle activations from my experiments and in the RRA part I keep getting this error:
Exception:
ArrayPtrs.get: Array index out of bounds.
Does anyone know what this means?
About my model/experiment:
I acquired the variation of the ankle angle for several types of motion, but with the subject's leg hanging above the ground (so there were no external forces, besides gravity). I am working with sets of data 60 seconds long at 120 Hz.
I adapted the Gait2354_Simbody model just to account with the right leg. I only modeled the dorsiflexors/inverters and plantarflexors, so I needed to account with femur, tibia and foot bones. The Inverse dynamics part works without any errors, and the moments I get are about right (I zeroed the files with the GRFs). But when I try to do the RRA, I get the error mentioned above. I adapted all the xml files (RRA_Tasks, RRA_Actuators and RRA_ControlConstraints) to account only for what's available in my model.
I would greatly appreciate any help!
Thank you,
Paulo Melo
I'm trying to estimate muscle activations from my experiments and in the RRA part I keep getting this error:
Exception:
ArrayPtrs.get: Array index out of bounds.
Does anyone know what this means?
About my model/experiment:
I acquired the variation of the ankle angle for several types of motion, but with the subject's leg hanging above the ground (so there were no external forces, besides gravity). I am working with sets of data 60 seconds long at 120 Hz.
I adapted the Gait2354_Simbody model just to account with the right leg. I only modeled the dorsiflexors/inverters and plantarflexors, so I needed to account with femur, tibia and foot bones. The Inverse dynamics part works without any errors, and the moments I get are about right (I zeroed the files with the GRFs). But when I try to do the RRA, I get the error mentioned above. I adapted all the xml files (RRA_Tasks, RRA_Actuators and RRA_ControlConstraints) to account only for what's available in my model.
I would greatly appreciate any help!
Thank you,
Paulo Melo