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Metabolic Cost of Isometric Force Production, and Their Applications to Human Force-Sharing Behaviour and Yoga Simulations
Metabolic Cost of Isometric Force Production, and Their Applications to Human Force-Sharing Behaviour and Yoga Simulations
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103701
- ISBN
- 9798314896976
- DDC
- 620.8
- 서명/저자
- Metabolic Cost of Isometric Force Production, and Their Applications to Human Force-Sharing Behaviour and Yoga Simulations
- 발행사항
- [Sl] : The Ohio State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 110 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
- 주기사항
- Advisor: Srinivasan, Manoj.
- 학위논문주기
- Thesis (Ph.D.)--The Ohio State University, 2024.
- 초록/해제
- 요약Energy is vital for both humans and machines to perform any activity in this world. Metabolic energy is used by muscles to produce force and movements in humans. There is evidence that healthy human behaviour in certain movement tasks is influenced by the amount of energy consumption or cost. Impaired human movements is marked by increase in energy cost. Rehabilitation and assistive devices are often designed to reduce energy cost of movement. Thus, estimating energy cost using mathematical models would be useful in both clinical experiments and predictive computer simulations. Previous models and experiments have not definitively established the relationship between energy cost, muscle force, and force rate for isometric tasks. Here, across two distinct projects, we performed two different isometric human experiments to measure the energy consumption of 1) producing constant force and 2) producing time-varying forces. From these experiments, we found that energy cost is nonlinearly related to joint torque and torque rates, characterized by power law relations - with an exponent of approximately 1.4 to 1.64 for joint torque and 2.5 for joint torque rate. We found that the energy cost to decrease force was more than increasing.Having characterized the energy-force nonlinearity in humans, we demonstrate that humans reflect this nonlinearity in their motor behaviour. Performing new bilateral force sharing experiments, we show that minimizing this nonlinear model predicts how humans share forces between limbs in additional experiments involving arms and legs. This shows the utility of our model in predictive simulations and its generalizability across limbs. We show that one of the popular motor control theory of minimising signal dependent error does not predict force sharing. We provide mathematical evidence that the same nonlinear energy objective may underlie force sharing at the muscle level, and that the metabolic energy cost scaling with muscle force and force rate may be the same as joint torque level scaling. We show that the power law scaling of metabolic energy implies a linear scaling strategy for exerting external forces of different magnitudes, as it is consistent with prior experiments.In the final project, we use our energy cost model to predict joint torques during 55 yoga poses using a novel computer simulation framework. Using yoga pose images, we extracted joint angles and key contact points. We created a torque-driven human body model in MuJoCo to model the dynamics and performed constrained optimisation with metabolic energy as the cost function to predict joint torques and contact forces. We show using principal component analysis (PCA) that the yoga poses are maximally diverse in kinematic space - so that there is not much compression using PCA; the poses are less diverse in joint torque space. We find that the yoga poses use most of the joint ranges of motion and use hip joint torques much more than other joints. Overall, we have contributed a comprehensive joint angle and torque dataset, which may be useful for future studies developing evidence based yoga therapies for movement disorders. We have developed a simulation framework, whose predictions could be tested in future work via careful experiments.
- 일반주제명
- Biomechanics
- 일반주제명
- Biology
- 일반주제명
- Behavioral sciences
- 일반주제명
- Mechanical engineering
- 기타저자
- The Ohio State University Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202103701
■006m o d
■007cr#unu||||||||
■020 ▼a9798314896976
■035 ▼a(MiAaPQ)AAI32112205
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a620.8
■1001 ▼aSekaripuram Muralidhar, Sriram.
■24510▼aMetabolic Cost of Isometric Force Production, and Their Applications to Human Force-Sharing Behaviour and Yoga Simulations
■260 ▼a[Sl]▼bThe Ohio State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a110 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-11, Section: B.
■500 ▼aAdvisor: Srinivasan, Manoj.
■5021 ▼aThesis (Ph.D.)--The Ohio State University, 2024.
■520 ▼aEnergy is vital for both humans and machines to perform any activity in this world. Metabolic energy is used by muscles to produce force and movements in humans. There is evidence that healthy human behaviour in certain movement tasks is influenced by the amount of energy consumption or cost. Impaired human movements is marked by increase in energy cost. Rehabilitation and assistive devices are often designed to reduce energy cost of movement. Thus, estimating energy cost using mathematical models would be useful in both clinical experiments and predictive computer simulations. Previous models and experiments have not definitively established the relationship between energy cost, muscle force, and force rate for isometric tasks. Here, across two distinct projects, we performed two different isometric human experiments to measure the energy consumption of 1) producing constant force and 2) producing time-varying forces. From these experiments, we found that energy cost is nonlinearly related to joint torque and torque rates, characterized by power law relations - with an exponent of approximately 1.4 to 1.64 for joint torque and 2.5 for joint torque rate. We found that the energy cost to decrease force was more than increasing.Having characterized the energy-force nonlinearity in humans, we demonstrate that humans reflect this nonlinearity in their motor behaviour. Performing new bilateral force sharing experiments, we show that minimizing this nonlinear model predicts how humans share forces between limbs in additional experiments involving arms and legs. This shows the utility of our model in predictive simulations and its generalizability across limbs. We show that one of the popular motor control theory of minimising signal dependent error does not predict force sharing. We provide mathematical evidence that the same nonlinear energy objective may underlie force sharing at the muscle level, and that the metabolic energy cost scaling with muscle force and force rate may be the same as joint torque level scaling. We show that the power law scaling of metabolic energy implies a linear scaling strategy for exerting external forces of different magnitudes, as it is consistent with prior experiments.In the final project, we use our energy cost model to predict joint torques during 55 yoga poses using a novel computer simulation framework. Using yoga pose images, we extracted joint angles and key contact points. We created a torque-driven human body model in MuJoCo to model the dynamics and performed constrained optimisation with metabolic energy as the cost function to predict joint torques and contact forces. We show using principal component analysis (PCA) that the yoga poses are maximally diverse in kinematic space - so that there is not much compression using PCA; the poses are less diverse in joint torque space. We find that the yoga poses use most of the joint ranges of motion and use hip joint torques much more than other joints. Overall, we have contributed a comprehensive joint angle and torque dataset, which may be useful for future studies developing evidence based yoga therapies for movement disorders. We have developed a simulation framework, whose predictions could be tested in future work via careful experiments.
■590 ▼aSchool code: 0168.
■650 4▼aBiomechanics
■650 4▼aBiology
■650 4▼aBehavioral sciences
■650 4▼aMechanical engineering
■653 ▼aMuscle energetics
■653 ▼aIsometric muscle contraction
■653 ▼aMuscle metabolic cost models
■653 ▼aBilateral limb force sharing
■653 ▼aMuscle force sharing
■653 ▼aPredictive yoga simulations
■690 ▼a0602
■690 ▼a0648
■690 ▼a0306
■690 ▼a0548
■71020▼aThe Ohio State University▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-11B.
■790 ▼a0168
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358224▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
