Temporal segmentation of exercise movements from wearable sensors

可穿戴传感器对运动动作进行时间分割

基本信息

  • 批准号:
    485294-2015
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Doppel Inc. is a Canadian startup based in Waterloo, Ontario, focused on the development of wearable fitness devices for athletic training. Doppel is creating a wearable fitness device that tracks repetitions for CrossFit athletes. In order to promote compliance, engagement and competition within the class, the results are displayed on a scoreboard in real time, and made available online for users to access. Doppel has developed a device for the on-line tracking of movement during exercise, based on an IMU built into a belt-like neoprene band, attached at the chest level (like a heart rate monitor), which transmits data via bluetooth to a central device. In order to enable the online counting and display of exercise repetitions for each participant, the system must be able to accurately identify the starting and ending point of each repetition from the continuous time series data measured by the IMU, a problem known as temporal segmentation. The aim of the proposed research is to develop and validate an accurate and robust segmentation algorithm which is capable of accurately generating the required repetition data for the CrossFit exercises.
多普尔公司是一家总部位于安大略省滑铁卢的加拿大初创公司,专注于可穿戴健身的开发 运动训练用具。多佩尔正在开发一种可穿戴的健身设备,可以跟踪CrossFit的重复动作 运动员。为了促进班级内的合规、参与和竞争,结果是 实时显示在记分板上,并可供用户在线访问。多佩尔已经开发出一种 基于带状氯丁橡胶内置IMU的运动过程在线跟踪装置 连接在胸部水平的频带(就像心率监测器),它通过蓝牙将数据传输到中央 设备。为了能够在线统计和显示每个参与者的练习重复次数, 系统必须能够准确地识别每次重复的起点和终点 IMU测量的时间序列数据,这是一个称为时间分割的问题。建议的目的是 研究的目的是开发和验证一种准确且健壮的分割算法,该算法能够 准确生成CrossFit练习所需的重复数据。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Kulic, Danica其他文献

Kulic, Danica的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Kulic, Danica', 18)}}的其他基金

Shared decision making and autonomy in human-robot teams
人机团队的共享决策和自主权
  • 批准号:
    491524-2015
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Accurate pose estimation and exercise recognition for next generation wearable systems for athletic training
用于运动训练的下一代可穿戴系统的准确姿势估计和运动识别
  • 批准号:
    505508-2016
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Shared Decision Making and Progressive Automation for Manufacturing Assembly
制造装配的共享决策和渐进式自动化
  • 批准号:
    493922-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Strategic Projects - Group
Accurate pose estimation and exercise recognition for next generation wearable systems for athletic training
用于运动训练的下一代可穿戴系统的准确姿势估计和运动识别
  • 批准号:
    505508-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Shared decision making and autonomy in human-robot teams
人机团队的共享决策和自主权
  • 批准号:
    491524-2015
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Automated measurement and assessment of performance during vestibulo ocular reflex rehabilitation following concussion
脑震荡后前庭眼反射康复过程中的自动测量和性能评估
  • 批准号:
    513899-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
Shared decision making and autonomy in human-robot teams
人机团队的共享决策和自主权
  • 批准号:
    491524-2015
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Automated segmentation and activity identification for intelligent vehicular systems
智能车辆系统的自动分割和活动识别
  • 批准号:
    446913-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Automated exercise classification for wearable-sensor based weight training performance monitoring
基于可穿戴传感器的重量训练表现监控的自动运动分类
  • 批准号:
    490655-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
Automated rehabilitation system for knee and hip rehabilitation
用于膝关节和髋关节康复的自动化康复系统
  • 批准号:
    433802-2012
  • 财政年份:
    2014
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants

相似海外基金

A mechanistic understanding of glymphatic transport and its implications in neurodegenerative disease
对类淋巴运输的机制及其在神经退行性疾病中的影响的理解
  • 批准号:
    10742654
  • 财政年份:
    2023
  • 资助金额:
    $ 1.82万
  • 项目类别:
Wearable, Always-on Stethoscope for Early Detection of Asthma Attack
用于早期检测哮喘发作的可穿戴、始终开启的听诊器
  • 批准号:
    10665806
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
Deep Learning-based Framework for Segmentation and Motion Tracking of Left Ventricle in 3D Echocardiography
基于深度学习的 3D 超声心动图左心室分割和运动跟踪框架
  • 批准号:
    10666687
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
Deep Learning-based Framework for Segmentation and Motion Tracking of Left Ventricle in 3D Echocardiography
基于深度学习的 3D 超声心动图左心室分割和运动跟踪框架
  • 批准号:
    10563111
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
Analyze: Machine Learning for Mobility Data
分析:移动数据的机器学习
  • 批准号:
    10581471
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10683487
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10214771
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    9897929
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10683143
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10268200
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了