@Article{Boonstra2006,
  author    = {Boonstra, M. C. and van der Slikke, R. M. A. and Keijsers, N. L. W. and van Lummel, R. C. and de Waal Malefijt, M. C. and Verdonschot, N.},
  title     = {The Accuracy of Measuring the Kinematics of Rising from a Chair with Accelerometers and Gyroscopes},
  journal   = {Journal of Biomechanics},
  year      = {2006},
  volume    = {39},
  pages     = {354--358},
  abstract  = {The purpose of this study was to assess the accuracy of measuring angle and angular velocity of the upper body and upper leg during rising from a chair with accelerometers, using low-pass filtering of the accelerometer signal. Also, the improvement in accuracy of the measurement with additional use of high-pass filtered gyroscopes was assessed.

Two uni-axial accelerometers and one gyroscope (DynaPort) per segment were used to measure angles and angular velocities of upper body and upper leg. Calculated angles and angular velocities were compared to a high-quality optical motion analysis system (Optotrak), using root mean squared error (RMS) and correlation coefficient () as parameters.

The results for the sensors showed that two uni-axial accelerometers give a reasonable accurate measurement of the kinematics of rising from a chair (RMS=2.9, 3.5, and 2.6� for angle and RMS=9.4, 18.4, and 11.5�/s for angular velocity for thorax, pelvis, and upper leg, respectively). Additional use of gyroscopes improved the accuracy significantly (RMS=0.8, 1.1, and 1.7� for angle and RMS=2.6, 4.0 and 4.9�/s for angular velocity for thorax, pelvis and upper leg, respectively).

The low-pass Butterworth filter had optimal cut-off frequencies of 1.05, 1.3, and 1.05 for thorax, pelvis, and upper leg, respectively. For the combined signal, the optimal cut-off frequencies were 0.18, 0.2, and 0,38 for thorax, pelvis and upper leg, respectively. The filters showed no subject specificity.

This study provides an accurate, inexpensive and simple method to measure the kinematics of movements similar to rising from a chair.},
  groups    = {EMBC2013},
  keywords  = {Accelerometers, Gyroscopes, Kinematics, Rising from a chair, Postural detection, IMU},
  review    = {Used accelerometers and gyroscopes to detect standing angle. High accuracy claimed.

Intergrated gyro. High passed it. Low passed accelerometer.

Boonsta2006
Cited by: 58
Motion type: Sit to stand
Recovery methodology: 2-axis accel, 1 gyro (32 Hz). Joint angle was calculated from both sensor types, and combined (did not specify how they 'combined' it). Trig for accel. Integration for gyro. Calculated angle to ground of hip, knee and ankle. 
Verification technique: Optotrak
Subject demographics: 5 healthy adults
Error reported: RMS deg, 0.8 for chest, 1.1 for hip, 1.7 for upper leg},
  tag       = {Really related works},
  timestamp = {2009.09.11},
}

{"_id":"q3TskJ78hdjJXmcCf","bibbaseid":"boonstra-vanderslikke-keijsers-vanlummel-dewaalmalefijt-verdonschot-theaccuracyofmeasuringthekinematicsofrisingfromachairwithaccelerometersandgyroscopes-2006","downloads":0,"creationDate":"2017-09-14T16:34:36.233Z","title":"The Accuracy of Measuring the Kinematics of Rising from a Chair with Accelerometers and Gyroscopes","author_short":["Boonstra, M. C.","van der Slikke, R. M. A.","Keijsers, N. L. W.","van Lummel, R. C.","de Waal Malefijt, M. C.","Verdonschot, N."],"year":2006,"bibtype":"article","biburl":"https://raw.githubusercontent.com/jfslin/jfslin.github.io/master/jf2lin.bib","bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Boonstra"],"firstnames":["M.","C."],"suffixes":[]},{"propositions":["van","der"],"lastnames":["Slikke"],"firstnames":["R.","M.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Keijsers"],"firstnames":["N.","L.","W."],"suffixes":[]},{"propositions":["van"],"lastnames":["Lummel"],"firstnames":["R.","C."],"suffixes":[]},{"propositions":["de"],"lastnames":["Waal","Malefijt"],"firstnames":["M.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Verdonschot"],"firstnames":["N."],"suffixes":[]}],"title":"The Accuracy of Measuring the Kinematics of Rising from a Chair with Accelerometers and Gyroscopes","journal":"Journal of Biomechanics","year":"2006","volume":"39","pages":"354--358","abstract":"The purpose of this study was to assess the accuracy of measuring angle and angular velocity of the upper body and upper leg during rising from a chair with accelerometers, using low-pass filtering of the accelerometer signal. Also, the improvement in accuracy of the measurement with additional use of high-pass filtered gyroscopes was assessed. Two uni-axial accelerometers and one gyroscope (DynaPort) per segment were used to measure angles and angular velocities of upper body and upper leg. Calculated angles and angular velocities were compared to a high-quality optical motion analysis system (Optotrak), using root mean squared error (RMS) and correlation coefficient () as parameters. The results for the sensors showed that two uni-axial accelerometers give a reasonable accurate measurement of the kinematics of rising from a chair (RMS=2.9, 3.5, and 2.6� for angle and RMS=9.4, 18.4, and 11.5�/s for angular velocity for thorax, pelvis, and upper leg, respectively). Additional use of gyroscopes improved the accuracy significantly (RMS=0.8, 1.1, and 1.7� for angle and RMS=2.6, 4.0 and 4.9�/s for angular velocity for thorax, pelvis and upper leg, respectively). The low-pass Butterworth filter had optimal cut-off frequencies of 1.05, 1.3, and 1.05 for thorax, pelvis, and upper leg, respectively. For the combined signal, the optimal cut-off frequencies were 0.18, 0.2, and 0,38 for thorax, pelvis and upper leg, respectively. The filters showed no subject specificity. This study provides an accurate, inexpensive and simple method to measure the kinematics of movements similar to rising from a chair.","groups":"EMBC2013","keywords":"Accelerometers, Gyroscopes, Kinematics, Rising from a chair, Postural detection, IMU","review":"Used accelerometers and gyroscopes to detect standing angle. High accuracy claimed. Intergrated gyro. High passed it. Low passed accelerometer. Boonsta2006 Cited by: 58 Motion type: Sit to stand Recovery methodology: 2-axis accel, 1 gyro (32 Hz). Joint angle was calculated from both sensor types, and combined (did not specify how they 'combined' it). Trig for accel. Integration for gyro. Calculated angle to ground of hip, knee and ankle. Verification technique: Optotrak Subject demographics: 5 healthy adults Error reported: RMS deg, 0.8 for chest, 1.1 for hip, 1.7 for upper leg","tag":"Really related works","timestamp":"2009.09.11","bibtex":"@Article{Boonstra2006,\n author = {Boonstra, M. C. and van der Slikke, R. M. A. and Keijsers, N. L. W. and van Lummel, R. C. and de Waal Malefijt, M. C. and Verdonschot, N.},\n title = {The Accuracy of Measuring the Kinematics of Rising from a Chair with Accelerometers and Gyroscopes},\n journal = {Journal of Biomechanics},\n year = {2006},\n volume = {39},\n pages = {354--358},\n abstract = {The purpose of this study was to assess the accuracy of measuring angle and angular velocity of the upper body and upper leg during rising from a chair with accelerometers, using low-pass filtering of the accelerometer signal. Also, the improvement in accuracy of the measurement with additional use of high-pass filtered gyroscopes was assessed.\n\nTwo uni-axial accelerometers and one gyroscope (DynaPort) per segment were used to measure angles and angular velocities of upper body and upper leg. Calculated angles and angular velocities were compared to a high-quality optical motion analysis system (Optotrak), using root mean squared error (RMS) and correlation coefficient () as parameters.\n\nThe results for the sensors showed that two uni-axial accelerometers give a reasonable accurate measurement of the kinematics of rising from a chair (RMS=2.9, 3.5, and 2.6� for angle and RMS=9.4, 18.4, and 11.5�/s for angular velocity for thorax, pelvis, and upper leg, respectively). Additional use of gyroscopes improved the accuracy significantly (RMS=0.8, 1.1, and 1.7� for angle and RMS=2.6, 4.0 and 4.9�/s for angular velocity for thorax, pelvis and upper leg, respectively).\n\nThe low-pass Butterworth filter had optimal cut-off frequencies of 1.05, 1.3, and 1.05 for thorax, pelvis, and upper leg, respectively. For the combined signal, the optimal cut-off frequencies were 0.18, 0.2, and 0,38 for thorax, pelvis and upper leg, respectively. The filters showed no subject specificity.\n\nThis study provides an accurate, inexpensive and simple method to measure the kinematics of movements similar to rising from a chair.},\n groups = {EMBC2013},\n keywords = {Accelerometers, Gyroscopes, Kinematics, Rising from a chair, Postural detection, IMU},\n review = {Used accelerometers and gyroscopes to detect standing angle. High accuracy claimed.\n\nIntergrated gyro. High passed it. Low passed accelerometer.\n\nBoonsta2006\nCited by: 58\nMotion type: Sit to stand\nRecovery methodology: 2-axis accel, 1 gyro (32 Hz). Joint angle was calculated from both sensor types, and combined (did not specify how they 'combined' it). Trig for accel. Integration for gyro. Calculated angle to ground of hip, knee and ankle. \nVerification technique: Optotrak\nSubject demographics: 5 healthy adults\nError reported: RMS deg, 0.8 for chest, 1.1 for hip, 1.7 for upper leg},\n tag = {Really related works},\n timestamp = {2009.09.11},\n}\n\n","author_short":["Boonstra, M. C.","van der Slikke, R. M. A.","Keijsers, N. L. W.","van Lummel, R. C.","de Waal Malefijt, M. C.","Verdonschot, N."],"key":"Boonstra2006","id":"Boonstra2006","bibbaseid":"boonstra-vanderslikke-keijsers-vanlummel-dewaalmalefijt-verdonschot-theaccuracyofmeasuringthekinematicsofrisingfromachairwithaccelerometersandgyroscopes-2006","role":"author","urls":{},"keyword":["Accelerometers","Gyroscopes","Kinematics","Rising from a chair","Postural detection","IMU"],"downloads":0},"search_terms":["accuracy","measuring","kinematics","rising","chair","accelerometers","gyroscopes","boonstra","van der slikke","keijsers","van lummel","de waal malefijt","verdonschot"],"keywords":["accelerometers","gyroscopes","kinematics","rising from a chair","postural detection","imu"],"authorIDs":[],"dataSources":["iCsmKnycRmHPxmhBd"]}