Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
基本信息
- 批准号:RGPIN-2015-05317
- 负责人:
- 金额:$ 1.6万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Wireless, wearable sensor systems (WSS) capable of capturing continuous, objective metrics of gait and postural behavior offer new possibilities for human motor control research, monitoring and diagnosing rehabilitation outcomes for diagnosis, and control systems design of assistive technologies. Major technical challenges that limit the current applicability and efficiency of WSS include: 1) suboptimal accuracy and reliability in capturing detailed gait parameters, 2) few techniques to extract contextual information about the physical environment to interpret data, and 3) few validated approaches to analyze large, longitudinal datasets of gait and posture behaviour. The long-term goal of this research program is to advance the accuracy, reliability, and applicability of WSS for ambulatory gait and posture analysis.
无线、可穿戴传感器系统(WSS)能够捕获连续、客观的步态和姿势行为指标,为人类运动控制研究、监测和诊断康复结果以及辅助技术的控制系统设计提供了新的可能性。限制WSS当前适用性和效率的主要技术挑战包括:1)捕获详细步态参数的准确性和可靠性欠佳;2)很少有技术提取物理环境的上下文信息来解释数据;3)很少有经过验证的方法来分析步态和姿势行为的大型纵向数据集。本研究计划的长期目标是提高WSS在动态步态和姿态分析中的准确性、可靠性和适用性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Tung, James其他文献
Automated Detection of Older Adults' Naturally-Occurring Compensatory Balance Reactions: Translation From Laboratory to Free-Living Conditions
- DOI:
10.1109/jtehm.2022.3163967 - 发表时间:
2022-01-01 - 期刊:
- 影响因子:3.4
- 作者:
Nouredanesh, Mina;Ojeda, Lauro;Tung, James - 通讯作者:
Tung, James
Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment.
- DOI:
10.1186/s12984-022-01022-6 - 发表时间:
2022-07-22 - 期刊:
- 影响因子:5.1
- 作者:
Nouredanesh, Mina;Godfrey, Alan;Powell, Dylan;Tung, James - 通讯作者:
Tung, James
Automated Detection of Multidirectional Compensatory Balance Reactions: A Step Towards Tracking Naturally Occurring Near Falls
- DOI:
10.1109/tnsre.2019.2956487 - 发表时间:
2020-02-01 - 期刊:
- 影响因子:4.9
- 作者:
Nouredanesh, Mina;Gordt, Katharina;Tung, James - 通讯作者:
Tung, James
Tung, James的其他文献
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{{ truncateString('Tung, James', 18)}}的其他基金
Wearable sensing for human motor control research and mobility assistive devices: Capturing environmental features
用于人体运动控制研究和移动辅助设备的可穿戴传感:捕获环境特征
- 批准号:
RGPIN-2022-03878 - 财政年份:2022
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
- 批准号:
RGPIN-2015-05317 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Technologies for low-cost mobile sensorimotor assessment following concussion
脑震荡后低成本移动感觉运动评估技术
- 批准号:
537106-2018 - 财政年份:2020
- 资助金额:
$ 1.6万 - 项目类别:
Collaborative Research and Development Grants
Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
- 批准号:
RGPIN-2015-05317 - 财政年份:2020
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Technologies for low-cost mobile sensorimotor assessment following concussion
脑震荡后低成本移动感觉运动评估技术
- 批准号:
537106-2018 - 财政年份:2019
- 资助金额:
$ 1.6万 - 项目类别:
Collaborative Research and Development Grants
Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
- 批准号:
RGPIN-2015-05317 - 财政年份:2019
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Smart textile sensing for prosthetic fit monitoring**
用于监测假肢贴合度的智能织物传感**
- 批准号:
537158-2018 - 财政年份:2018
- 资助金额:
$ 1.6万 - 项目类别:
Engage Grants Program
Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
- 批准号:
RGPIN-2015-05317 - 财政年份:2018
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Lower-limb wearable exoskeleton system to advance assisted mobility research
下肢可穿戴外骨骼系统推进辅助移动研究
- 批准号:
RTI-2018-00239 - 财政年份:2017
- 资助金额:
$ 1.6万 - 项目类别:
Research Tools and Instruments
Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis
用于动态步态和姿势分析的可穿戴传感器信号的多模态集成
- 批准号:
RGPIN-2015-05317 - 财政年份:2016
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
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