diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 646ab4fa..f0468037 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -8,7 +8,7 @@ from rowers.tasks import handle_sendemail_unrecognized
 from rowingdata import rower as rrower
 from rowingdata import main as rmain
 
-from rowingdata import get_file_type
+from rowingdata import get_file_type,get_empower_rigging
 
 from pandas import DataFrame,Series
 from pytz import timezone as tz,utc
@@ -31,7 +31,7 @@ import os
 import pandas as pd
 import numpy as np
 import itertools
-
+import math
 from tasks import handle_sendemail_unrecognized
 
 from django.conf import settings
@@ -326,7 +326,8 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
                           dosummary=True,title='Workout',
                           notes='',totaldist=0,totaltime=0,
                           summary='',
-                          makeprivate=False):
+                          makeprivate=False,
+                          oarlength=2.89,inboard=0.88):
     message = None
     powerperc = 100*np.array([r.pw_ut2,
                               r.pw_ut1,
@@ -446,6 +447,7 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
 		csvfilename=f2,notes=notes,summary=summary,
 		maxhr=maxhr,averagehr=averagehr,
 		startdatetime=workoutstartdatetime,
+                inboard=inboard,oarlength=oarlength,
                 privacy=privacy)
 
 
@@ -458,11 +460,13 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
 
     # put stroke data in database
     res = dataprep(row.df,id=w.id,bands=True,
-                   barchart=True,otwpower=True,empower=True)
+                   barchart=True,otwpower=True,empower=True,inboard=inboard)
 
     return (w.id,message)
 
 def handle_nonpainsled(f2,fileformat,summary=''):
+    oarlength = 2.89
+    inboard = 0.88
     # handle RowPro:
     if (fileformat == 'rp'):
 	row = RowProParser(f2)
@@ -506,6 +510,7 @@ def handle_nonpainsled(f2,fileformat,summary=''):
     if (fileformat == 'speedcoach2'):
 	row = SpeedCoach2Parser(f2)
         try:
+            oarlength,inboard = get_empower_rigging(f2)
             summary = row.allstats()
         except:
             pass
@@ -534,7 +539,7 @@ def handle_nonpainsled(f2,fileformat,summary=''):
     except:
         os.remove(f_to_be_deleted+'.gz')
 
-    return (f2,summary)
+    return (f2,summary,oarlength,inboard)
 
 # Create new workout from file and store it in the database
 # This routine should be used everywhere in views.py and mailprocessing.py
@@ -547,6 +552,8 @@ def new_workout_from_file(r,f2,
     message = None
     fileformat = get_file_type(f2)
     summary = ''
+    oarlength = 2.89
+    inboard = 0.88
     if len(fileformat)==3 and fileformat[0]=='zip':
         f_to_be_deleted = f2
         with zipfile.ZipFile(f2) as z:
@@ -590,7 +597,7 @@ def new_workout_from_file(r,f2,
         
     # handle non-Painsled by converting it to painsled compatible CSV
     if (fileformat != 'csv'):
-        f2,summary = handle_nonpainsled(f2,fileformat,summary=summary)
+        f2,summary,oarlength,inboard = handle_nonpainsled(f2,fileformat,summary=summary)
 
 
     dosummary = (fileformat != 'fit')
@@ -599,6 +606,7 @@ def new_workout_from_file(r,f2,
                                        makeprivate=makeprivate,
                                        dosummary=dosummary,
                                        summary=summary,
+                                       inboard=inboard,oarlength=oarlength,
                                        title=title)
 
     return (id,message,f2)
@@ -884,7 +892,7 @@ def smalldataprep(therows,xparam,yparam1,yparam2):
 # saves it to the stroke_data table in the database
 # Takes a rowingdata object's DataFrame as input
 def dataprep(rowdatadf,id=0,bands=True,barchart=True,otwpower=True,
-             empower=True):
+             empower=True,inboard=0.88):
     rowdatadf.set_index([range(len(rowdatadf))],inplace=True)
     t = rowdatadf.ix[:,'TimeStamp (sec)']
     t = pd.Series(t-rowdatadf.ix[0,'TimeStamp (sec)'])
@@ -997,7 +1005,11 @@ def dataprep(rowdatadf,id=0,bands=True,barchart=True,otwpower=True,
             finish = rowdatadf.ix[:,'finish']
             peakforceangle = rowdatadf.ix[:,'peakforceangle']
             driveenergy = rowdatadf.ix[:,'driveenergy']
-            drivelength = driveenergy/(averageforce*4.44822)
+            arclength = (inboard-0.05)*(np.radians(finish)-np.radians(catch))
+            if arclength.mean()>0:
+                drivelength = arclength
+            else:
+                drivelength = driveenergy/(averageforce*4.44822)
             slip = rowdatadf.ix[:,'slip']
             if windowsize > 3 and windowsize<len(slip):
                 wash = savgol_filter(wash,windowsize,3)
diff --git a/rowers/models.py b/rowers/models.py
index c52c34ed..784a5943 100644
--- a/rowers/models.py
+++ b/rowers/models.py
@@ -393,6 +393,12 @@ class Workout(models.Model):
     maxhr = models.IntegerField(blank=True,null=True)
     uploadedtostrava = models.IntegerField(default=0)
     uploadedtosporttracks = models.IntegerField(default=0)
+
+    # empower stuff
+    inboard = models.FloatField(default=0.88)
+    oarlength = models.FloatField(default=2.89)
+    
+    
     notes = models.CharField(blank=True,null=True,max_length=1000)
     summary = models.TextField(blank=True)
     privacy = models.CharField(default='visible',max_length=30,