Faculty

Institution

Unit

Venue

Mei-Hua Lee

Associate Professor

Michigan State University

Affiliations

College of Education

Department of Kinesiology

Mei-hua Lee is currently serving as a College Of Education Associate Professor at Michigan State University.

Honors

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Experiences

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Education

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Mei-Hua Lee

Michigan State University

Associate Professor

You can click a keyword to filter the displayed items

neuroscience motor control rehabilitation behavioral sciences child development robotics early childhood development motor skills motor behavior body-machine interface biomedical engineering assistive technology rehabilitation engineering developmental science early childhood human-machine interfaces man-machine interface rehabilitation robotics movement analysis control systems neural engineering user interfaces human-computer interaction automatic control neurorehabilitation robot learning sport medicine mammalian biology mobility support lifespan development embryonic development physical development object orientation robot control embodied robotics mobile learning online learning assistive robots assistive devices motion control exercise science sport science smart sensors activity recognition behavioral flexibility body machine interface inertial sensors longitudinal expressions object properties limited movement repertoire object-oriented arm movements goal-directed reaching robot arm age-dependent differences infant prehension visual feedback hand trajectory severe motor impairments degree-of-freedom body-machine interface kinesiology occupational therapy

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Novel Virtual Robotic Platform for Controlling Six Degrees of Freedom Assistive Devices With Body-Machine Interfaces. Computers in Biology and Medicine (2024)

Thomas E AugensteinDeepak NagallaAlexander MohaceyLuis H CubillosMei-Hua LeeRajiv RanganathanChandramouli Krishnan

rehabilitationassistive robotsassistive devicesbiomedical engineeringassistive technologyfreedom assistive devicesroboticsrehabilitation engineeringrehabilitation roboticsbody-machine interfacesmotion controlman-machine interface

Motor Control Needs to Build More Bridges Across Levels of Analysis. Motor Control (2024)

Rajiv RanganathanMei-Hua LeeChandramouli Krishnan

motor behaviormotor control

The Effect of an Early Life Motor Skill Intervention on Physical Activity in Growth-Restricted Mice. Medicine & Science in Sports & Exercise (2024)

ERIC C. LESZCZYNSKIMEGAN E. THORNJOSIE SZLACHETKAMEI-HUA LEEDAVID P. FERGUSON

physiologymedicinerehabilitationmotor skillsphysical activitymammalian biologysport medicinesport scienceexercise sciencegrowth-restricted mice

Towards a Multi-Sensor Paradigm for High Resolution Infant Activity Classification. SoutheastCon (2024)

Hrishikesh DuttaAmit Kumar BhuyanMei-Hua LeeSubir Biswas

smart sensorscomputer visionmovement analysispattern recognitionactivity recognitionmulti-sensor paradigmbehavioral sciences

Ten Guidelines for Designing Motor Learning Studies. Brazilian Journal of Motor Behavior (2022)

Rajiv RanganathanMei-Hua LeeChandramouli Krishnan

educationmotor learning studiesmotor behaviormotor controlmobile learningten guidelines

Motor Variability Prior to Learning Does Not Facilitate the Ability to Adopt New Movement Solutions. Neuroscience (2021)

Rajiv RanganathanMarco LinSamuel CareyRakshith LokeshMei-Hua LeeChandramouli Krishnan

motor variabilityneurosciencemotor control

Motor Variability Prior to Learning is a Poor Predictor of the Ability to Adopt New Movement Solutions. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Rajiv RanganathanMarco LinSamuel CareyRakshith LokeshMei-Hua LeeChandramouli Krishnan

motor variabilityneurosciencemotor control

Repetition Without Repetition: Challenges in Understanding Behavioral Flexibility in Motor Skill. Frontiers in Psychology (2020)

Rajiv RanganathanMei-Hua LeeKarl M. Newell

rehabilitationmotor skillsbehavioral flexibilitypsychologymotor controlbehavioral sciences

Self-Controlled Practice and Nudging During Structural Learning of a Novel Control Interface. PLoS ONE (2020)

Mei-Hua LeeShanie A. L. Jayasinghe

machine learningneuroscienceself-controlled practicestructural learning

Age-Dependent Differences in Learning to Control a Robot Arm Using a Body-Machine Interface. Scientific Reports (2019)

Rajiv RanganathanMei-Hua LeeMalavika R. PadmanabhanSanders AspelundFlorian A. KagererRanjan Mukherjee

rehabilitationembodied roboticsage-dependent differenceskinematicsroboticsrehabilitation roboticsrobot learningrobot armrobot controlbody-machine interfacemachine learningneuroscienceman-machine interface

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Mei-Hua Lee

Associate Professor

Michigan State University

Affiliations

College of Education

Department of Kinesiology

Mei-hua Lee is currently serving as a College Of Education Associate Professor at Michigan State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mei-Hua Lee

Michigan State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Novel Virtual Robotic Platform for Controlling Six Degrees of Freedom Assistive Devices With Body-Machine Interfaces. Computers in Biology and Medicine (2024)

Thomas E AugensteinDeepak NagallaAlexander MohaceyLuis H CubillosMei-Hua LeeRajiv RanganathanChandramouli Krishnan

Motor Control Needs to Build More Bridges Across Levels of Analysis. Motor Control (2024)

Rajiv RanganathanMei-Hua LeeChandramouli Krishnan

motor behaviormotor control

The Effect of an Early Life Motor Skill Intervention on Physical Activity in Growth-Restricted Mice. Medicine & Science in Sports & Exercise (2024)

ERIC C. LESZCZYNSKIMEGAN E. THORNJOSIE SZLACHETKAMEI-HUA LEEDAVID P. FERGUSON

physiologymedicinerehabilitationmotor skillsphysical activitymammalian biologysport medicinesport scienceexercise sciencegrowth-restricted mice

Towards a Multi-Sensor Paradigm for High Resolution Infant Activity Classification. SoutheastCon (2024)

Hrishikesh DuttaAmit Kumar BhuyanMei-Hua LeeSubir Biswas

smart sensorscomputer visionmovement analysispattern recognitionactivity recognitionmulti-sensor paradigmbehavioral sciences

Ten Guidelines for Designing Motor Learning Studies. Brazilian Journal of Motor Behavior (2022)

Rajiv RanganathanMei-Hua LeeChandramouli Krishnan

educationmotor learning studiesmotor behaviormotor controlmobile learningten guidelines

Motor Variability Prior to Learning Does Not Facilitate the Ability to Adopt New Movement Solutions. Neuroscience (2021)

Rajiv RanganathanMarco LinSamuel CareyRakshith LokeshMei-Hua LeeChandramouli Krishnan

motor variabilityneurosciencemotor control

Motor Variability Prior to Learning is a Poor Predictor of the Ability to Adopt New Movement Solutions. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Rajiv RanganathanMarco LinSamuel CareyRakshith LokeshMei-Hua LeeChandramouli Krishnan

motor variabilityneurosciencemotor control

Repetition Without Repetition: Challenges in Understanding Behavioral Flexibility in Motor Skill. Frontiers in Psychology (2020)

Rajiv RanganathanMei-Hua LeeKarl M. Newell

rehabilitationmotor skillsbehavioral flexibilitypsychologymotor controlbehavioral sciences

Self-Controlled Practice and Nudging During Structural Learning of a Novel Control Interface. PLoS ONE (2020)

Mei-Hua LeeShanie A. L. Jayasinghe

machine learningneuroscienceself-controlled practicestructural learning

Age-Dependent Differences in Learning to Control a Robot Arm Using a Body-Machine Interface. Scientific Reports (2019)

Rajiv RanganathanMei-Hua LeeMalavika R. PadmanabhanSanders AspelundFlorian A. KagererRanjan Mukherjee

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neuroscience

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Rajiv Ranganathan

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neurorehabilitation

Jody Jensen

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University of Texas at Austin

movement experience

rehabilitation

Megan MacDonald

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occupational therapy

Jane E. Clark

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Richard Lauer

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motor difficulties

Michele Lobo

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University of Delaware

developmental disabilities

rehabilitation

Bradley Hatfield

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brain dynamics

James Galloway

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