Human Lower Limb Joint Biomechanics in Daily Life Activities: A Literature Based Requirement Analysis for Anthropomorphic Robot Design

Daily human activity is characterized by a broad variety of movement tasks. This work summarizes the sagittal hip, knee, and ankle joint biomechanics for a broad range of daily movements, based on previously published literature, to identify requirements for robotic design. Maximum joint power, moment, angular velocity, and angular acceleration, as well as the movement-related range of motion and the mean absolute power were extracted, compared, and analyzed for essential and sportive movement tasks. We found that the full human range of motion is required to mimic human like performance and versatility. In general, sportive movements were found to exhibit the highest joint requirements in angular velocity, angular acceleration, moment, power, and mean absolute power. However, at the hip, essential movements, such as recovery, had comparable or even higher requirements. Further, we found that the moment and power demands were generally higher in stance, while the angular velocity and angular acceleration were mostly higher or equal in swing compared to stance for locomotion tasks. The extracted requirements provide a novel comprehensive overview that can help with the dimensioning of actuators enabling tailored assistance or rehabilitation for wearable lower limb robots, and to achieve essential, sportive or augmented performances that exceed natural human capabilities with humanoid robots.

[1]  Bram Vanderborght,et al.  Variable Recruitment of Parallel Elastic Elements: Series–Parallel Elastic Actuators (SPEA) With Dephased Mutilated Gears , 2015, IEEE/ASME Transactions on Mechatronics.

[2]  A. Siemienski,et al.  Biomechanical Analysis of Squat Jump and Countermovement Jump From Varying Starting Positions , 2013, Journal of strength and conditioning research.

[3]  Nikolaos G. Tsagarakis,et al.  Benchmarking Bipedal Locomotion: A Unified Scheme for Humanoids, Wearable Robots, and Humans , 2015, IEEE Robotics & Automation Magazine.

[4]  Miguel López-Coronado,et al.  Social Robots for People with Aging and Dementia: A Systematic Review of Literature. , 2019, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[5]  W. Mutschler,et al.  The influence of knee position on ankle dorsiflexion - a biometric study , 2014, BMC Musculoskeletal Disorders.

[6]  Hugh M. Herr,et al.  The effect of series elasticity on actuator power and work output: Implications for robotic and prosthetic joint design , 2006, Robotics Auton. Syst..

[7]  D. Winter,et al.  Overall principle of lower limb support during stance phase of gait. , 1980, Journal of biomechanics.

[8]  Philipp Beckerle,et al.  Active lower limb prosthetics: a systematic review of design issues and solutions , 2016, BioMedical Engineering OnLine.

[9]  G. Ferrigno,et al.  Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure , 1990, Medical and Biological Engineering and Computing.

[10]  Nevio Luigi Tagliamonte,et al.  Double actuation architectures for rendering variable impedance in compliant robots: A review , 2012 .

[11]  R. Riener,et al.  Stair ascent and descent at different inclinations. , 2002, Gait & posture.

[12]  Herman J. Woltring,et al.  A fortran package for generalized, cross-validatory spline smoothing and differentiation , 1986 .

[13]  Michiyoshi Ae,et al.  Joint torque and power of the takeoff leg in the long jump. , 2008 .

[14]  P V Komi,et al.  Medial gastrocnemius muscle behavior during human running and walking. , 2007, Gait & posture.

[15]  Bram Vanderborght,et al.  Lock Your Robot: A Review of Locking Devices in Robotics , 2015, IEEE Robotics & Automation Magazine.

[16]  J. Sinclair,et al.  The influence of different Cardan sequences on three-dimensional cycling kinematics , 2013 .

[17]  Anita M. Myers,et al.  Methodological Considerations for Researchers and Practitioners Using Pedometers to Measure Physical (Ambulatory) Activity , 2001, Research quarterly for exercise and sport.

[18]  P. Komi,et al.  Moment and power of lower limb joints in running. , 2002, International journal of sports medicine.

[19]  Hugh M. Herr,et al.  Powered Ankle--Foot Prosthesis Improves Walking Metabolic Economy , 2009, IEEE Transactions on Robotics.

[20]  H. Herr,et al.  A Clinical Comparison of Variable-Damping and Mechanically Passive Prosthetic Knee Devices , 2005, American journal of physical medicine & rehabilitation.

[21]  André Seyfarth,et al.  Effects of unidirectional parallel springs on required peak power and energy in powered prosthetic ankles: Comparison between different active actuation concepts , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[22]  Weijie Fu,et al.  Joint Torque and Mechanical Power of Lower Extremity and Its Relevance to Hamstring Strain during Sprint Running , 2017, Journal of healthcare engineering.

[23]  A. Hof On the interpretation of the support moment. , 2000, Gait & posture.

[24]  A Pedotti,et al.  A general computing method for the analysis of human locomotion. , 1975, Journal of biomechanics.

[25]  Dhruv Grewal,et al.  Service Robots Rising: How Humanoid Robots Influence Service Experiences and Elicit Compensatory Consumer Responses , 2019, Journal of Marketing Research.

[26]  Oskar von Stryk,et al.  HuMoD - A versatile and open database for the investigation, modeling and simulation of human motion dynamics on actuation level , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

[27]  Gabe Nelson,et al.  The PETMAN and Atlas Robots at Boston Dynamics , 2018, Humanoid Robotics: A Reference.

[28]  James P. Schmiedeler,et al.  Design and control of a planar bipedal robot ERNIE with parallel knee compliance , 2008, Auton. Robots.

[29]  Arthur Christian Nelson,et al.  If You Build Them, Commuters Will Use Them: Association Between Bicycle Facilities and Bicycle Commuting , 1997 .

[30]  A. Pedotti,et al.  Functionally oriented and clinically feasible quantitative gait analysis method , 1998, Medical and Biological Engineering and Computing.

[31]  Seung-Bok Choi,et al.  A State-of-the-Art Review on Robots and Medical Devices Using Smart Fluids and Shape Memory Alloys , 2018, Applied Sciences.

[32]  Martin Grimmer,et al.  Energetic and Peak Power Advantages of Series Elastic Actuators in an Actuated Prosthetic Leg for Walking and Running , 2014 .

[33]  Toshio Fukuda,et al.  State of the Art: Bipedal Robots for Lower Limb Rehabilitation , 2017 .

[34]  G. Andersson,et al.  Normal range of motion of the hip, knee and ankle joints in male subjects, 30-40 years of age. , 1982, Acta orthopaedica Scandinavica.

[35]  Tamim Asfour,et al.  Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion , 2016, IEEE Transactions on Robotics.

[36]  D. F. B. Haeufle,et al.  A clutched parallel elastic actuator concept: Towards energy efficient powered legs in prosthetics and robotics , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[37]  Andrea N. Lay,et al.  The effects of sloped surfaces on locomotion: a kinematic and kinetic analysis. , 2006, Journal of biomechanics.

[38]  W. Liao,et al.  Knee exoskeletons for gait rehabilitation and human performance augmentation: A state-of-the-art , 2019, Mechanism and Machine Theory.

[39]  M T Do,et al.  Fall-related injuries among Canadian seniors, 2005-2013: an analysis of the Canadian Community Health Survey. , 2015, Health promotion and chronic disease prevention in Canada : research, policy and practice.

[40]  S. Robinovitch,et al.  The effect of step length on young and elderly women's ability to recover balance. , 2007, Clinical biomechanics.

[41]  Michael Günther,et al.  DEALING WITH SKIN MOTION AND WOBBLING MASSES IN INVERSE DYNAMICS , 2003 .

[42]  Ryosuke Kimura,et al.  Whole-body patterns of the range of joint motion in young adults: masculine type and feminine type , 2016, Journal of Physiological Anthropology.

[43]  Bram Vanderborght,et al.  The AMP-Foot 3, new generation propulsive prosthetic feet with explosive motion characteristics: design and validation , 2016, BioMedical Engineering OnLine.

[44]  Tingfang Yan,et al.  Review of assistive strategies in powered lower-limb orthoses and exoskeletons , 2015, Robotics Auton. Syst..

[45]  André Seyfarth,et al.  A powered prosthetic ankle joint for walking and running , 2016, Biomedical engineering online.

[46]  Martin Grimmer,et al.  Mimicking Human-Like Leg Function in Prosthetic Limbs , 2014 .

[47]  Jaime E. Duarte,et al.  The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers , 2017, Front. Neurorobot..

[48]  Andreas Holtermann,et al.  Does objectively measured daily duration of forward bending predict development and aggravation of low-back pain? A prospective study. , 2016, Scandinavian journal of work, environment & health.

[49]  Stephan Rinderknecht,et al.  Does it pay to have a damper in a powered ankle prosthesis? A power-energy perspective , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[50]  M. Nussbaum,et al.  Maximum voluntary joint torque as a function of joint angle and angular velocity: model development and application to the lower limb. , 2007, Journal of biomechanics.

[51]  Giancarlo Ferrigno,et al.  Elite: A Digital Dedicated Hardware System for Movement Analysis Via Real-Time TV Signal Processing , 1985, IEEE Transactions on Biomedical Engineering.

[52]  Athanassios Bissas,et al.  Differences between motion capture and video analysis systems in calculating knee angles in elite-standard race walking , 2018, Journal of sports sciences.

[53]  Mark A King,et al.  Modelling the maximum voluntary joint torque/angular velocity relationship in human movement. , 2006, Journal of biomechanics.

[54]  Manuel G. Catalano,et al.  Variable impedance actuators: A review , 2013, Robotics Auton. Syst..

[55]  Ulf P. Arborelius,et al.  Power output and work in different muscle groups during ergometer cycling , 2006, European Journal of Applied Physiology and Occupational Physiology.

[56]  J. Harlaar,et al.  Biomechanics and muscular activity during sit-to-stand transfer. , 1994, Clinical biomechanics.

[57]  B M Nigg,et al.  Contribution of the lower extremity joints to mechanical energy in running vertical jumps and running long jumps. , 1998, Journal of sports sciences.

[58]  Youngho Kim,et al.  Lower extremity joint kinetics and lumbar curvature during squat and stoop lifting , 2009, BMC musculoskeletal disorders.

[59]  Giovanni Biglino,et al.  Numerical model of a valvuloplasty balloon: in vitro validation in a rapid-prototyped phantom , 2016, BioMedical Engineering OnLine.

[60]  Kristof Kipp,et al.  Lower Extremity Biomechanics During Weightlifting Exercise Vary Across Joint and Load , 2011, Journal of strength and conditioning research.

[61]  D A Winter,et al.  Measurement and reduction of noise in kinematics of locomotion. , 1974, Journal of biomechanics.

[62]  Bram Vanderborght,et al.  Series and Parallel Elastic Actuation: Influence of Operating Positions on Design and Control , 2017, IEEE/ASME Transactions on Mechatronics.

[63]  Robert Riener,et al.  Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons , 2019, Journal of NeuroEngineering and Rehabilitation.

[64]  Jeffrey L. Alexander,et al.  Prediction of Maximum Oxygen Consumption from Walking, Jogging, or Running , 2002 .

[65]  J. Smoliga,et al.  Declines in marathon performance: Sex differences in elite and recreational athletes , 2017, PloS one.

[66]  Ilse Jonkers,et al.  Successful Preliminary Walking Experiments on a Transtibial Amputee Fitted with a Powered Prosthesis , 2009, Prosthetics and orthotics international.

[67]  Diego Torricelli,et al.  Compliant lower limb exoskeletons: a comprehensive review on mechanical design principles , 2019, Journal of NeuroEngineering and Rehabilitation.

[68]  D. Perrin,et al.  Reliability and validity of the Biodex system 3 pro isokinetic dynamometer velocity, torque and position measurements , 2003, European Journal of Applied Physiology.

[69]  Scott Kuindersma,et al.  Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot , 2015, Autonomous Robots.

[70]  Junwon Jang,et al.  Effects of assistance timing on metabolic cost, assistance power, and gait parameters for a hip-type exoskeleton , 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

[71]  Bram Vanderborght,et al.  Human-like compliant locomotion: state of the art of robotic implementations , 2016, Bioinspiration & biomimetics.

[72]  Prashant K. Jamwal,et al.  State of the Art Lower Limb Robotic Exoskeletons for Elderly Assistance , 2019, IEEE Access.

[73]  Joana Figueiredo,et al.  Exoskeletons for lower-limb rehabilitation , 2018 .

[74]  J. Czerniecki,et al.  Mechanical work adaptations of above-knee amputee ambulation. , 1996, Archives of physical medicine and rehabilitation.

[75]  Brendan T. Quinlivan,et al.  Comparison of the human-exosuit interaction using ankle moment and ankle positive power inspired walking assistance. , 2019, Journal of biomechanics.