NRI: FND: Robotic Human Enhancement Enabled through Wearable Hip Exoskeletons Capable of Community Ambulation
NRI: FND: Robotic Human Enhancement Enabled through Wearable Hip Exoskeletons Capable of Community Ambulation
批准号:
1830215
负责人:
Aaron Young
金额:
$70.24万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-08-31
中文摘要
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英文摘要
The increased metabolic and biomechanical demands of ambulation limit community mobility in persons with lower limb disability due to neurological damage or advanced age. Robotic exoskeletons have the potential to assist these individuals to increase community mobility to improve quality of life. Current technology does not support dynamic movements, such as transitioning between different gaits and supporting a wide variety of walking speeds. This project proposes to meet this challenge by exploring an innovative myoelectric controller that brings together information across multiple muscles to assist the exoskeleton in a range of tasks for mobility. Of interest is how to extract information about the human user's intent, such as what speed the user wants to walk at or if they want to take a step up a stair. Recognizing intent will allow the device to give appropriate assistance over a wide range of activities. For this research project, the investigators will use a new type of robotic hip exoskeleton to augment the human hip during tasks such as walking at different speed, ramps and stairs. This project seeks to advance the state of the science in man-machine exoskeleton interfaces through new types of control techniques. This will help the team's long-term research goal of creating robotic assistive devices that benefit individuals with serious lower limb disabilities by improving mobility and, thus, overall independence. This NSF project will also include a significant outreach to the local Atlanta community. Local project partners will bring underserved minority students in the Atlanta area to Georgia Tech to participate in this educational program. These high school students will interact with the human assistive robotics in the lab and design, build, and program their own assistive robots through hands on education. This project will facilitate the training of an interdisciplinary group of students including graduate and undergraduate biomedical, electrical, and mechanical engineers, GT graduate students training to be clinical practitioners in prosthetics and orthotics, and physical therapists in training in Emory's DPT program. This interdisciplinary group of students will work together to fully integrate all aspects of the project and facilitate learning.This research project will advance the knowledge of myoelectric (EMG) control for enabling humans to have dynamic movement assistance using lower limb robotic exoskeletons. Existing technologies of exoskeleton systems have limited high-level understanding of user intent, thus precluding adaptation to a proper range of daily tasks of living. Sensing modalities used in such systems do not provide sufficient information regarding key physiological parameters such as muscle activity. Conventional control algorithms relate a single modality of sensors to exoskeleton assistance and are thus incapable of fusing broader sets of varying sensor information. These technological gaps have impeded the translation of such systems beyond lab settings to clinical use where they can impact important health needs such as assistive rehabilitation. This proposal will address these gaps in assistive robotic technology by pursuing research organized in three key objectives: Objective 1) Determine the most effective strategy of providing exoskeleton hip assistance for reducing metabolic cost using a novel myoelectric controller. Objective 2) Compare the metabolic and biomechanical effects of a novel controller driven by myoelectric inputs vs a standard controller driven by kinematic inputs. Objective 3) Determine the contributions of high-level intent recognition using myoelectric information to improve control of a powered hip exoskeleton over simulated community terrain. Relatively simple mobility tasks like standing from a seated position or walking represent the primary outcome measures that determine independence in rehabilitation. Thus, the wearable exoskeleton system described in this grant proposal has the potential to make a measurable impact on enhancing the functional performance capabilities of individuals with lower limb deficits by increasing their quality of life, independence and well-being.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI:
10.1109/ismr48347.2022.9807510
发表时间:
2022-04
期刊:
2022 International Symposium on Medical Robotics (ISMR)
影响因子:
--
作者:
[Hang Man Cho;Inseung Kang;DongHo Park;Dean D. Molinaro;Aaron J. Young]
通讯作者:
Hang Man Cho;Inseung Kang;DongHo Park;Dean D. Molinaro;Aaron J. Young
DOI:
10.1109/tro.2021.3112280
发表时间:
2021-10-04
期刊:
IEEE TRANSACTIONS ON ROBOTICS
影响因子:
7.8
作者:
[Li, Jared M., Molinaro, Dean D., Young, Aaron J.]
通讯作者:
Young, Aaron J.
Wearable Sensor-Based Step Length Estimation During Overground Locomotion Using a Deep Convolutional Neural Network
使用深度卷积神经网络进行地上运动期间基于可穿戴传感器的步长估计
DOI:
10.1109/embc46164.2021.9630060
发表时间:
2021
期刊:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC
影响因子:
--
作者:
[Jin, Heejoo, Kang, Inseung, Choi, Gayeon, Molinaro, Dean D., Young, Aaron J.]
通讯作者:
Young, Aaron J.
Reduction of Trunk Extensor Muscle Activation using a Cable-Driven Asymmetric Back Exosuit
使用电缆驱动的不对称背部外装减少躯干伸肌激活
DOI:
--
发表时间:
2021
期刊:
American Society of Biomechanics
影响因子:
--
作者:
[Molinaro, D, King, A, Mazumdar, A, Young, A]
通讯作者:
Young, A
DOI:
10.1109/tmrb.2022.3144025
发表时间:
2022-02-01
期刊:
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
影响因子:
--
作者:
[Molinaro, Dean D., Kang, Inseung, Young, Aaron J.]
通讯作者:
Young, Aaron J.
共 25 条
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批准号:2233164
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项目类别:Standard Grant
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财政年份:2023
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负责人:Aaron Young
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依托单位:
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财政年份:2023
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资助金额:$0.0万
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财政年份:2008
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负责人:Aaron Young
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