EAGER: Development of Model-Based Active Chair for Proactive Injury Prevention

EAGER：开发基于模型的主动椅，用于主动预防伤害

• 批准号: 1555408
• 负责人: Kang Li
• 金额: $ 30万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1555408&HistoricalAwards=false
• 关键词: EAGER; Development; Model; Based; Active

Overview: Computers and Internet use have dramatically transformed our life style and exposed us to many significant occupational health hazards including neck and shoulder pains and low back pain associated with long-time sitting. These hazards have become a significant public health problem both in the US and the rest of the world. Although many lifestyle-related risk factors have been identified, effective monitoring and management is lacking to prevent the occurrence of these diseases in long term. The aim of this project, in partnership with Liberty Mutual Research Institute for Safety, is develop a first smart active chair to prevent injuries and improve office safety.Keywords: ergonomics, sensor fusion, visual tracking, proactive intervention.Intellectual Merit: The intellectual merit of this proposed exploratory research is that our research leads to a new paradigm of proactive preventing unhealthy lifestyle based on multimodal sensing research and technology. The investigators develop a novel method to predict neck, back and shoulder joint loading and muscle forces in real-time and to develop a personalized and real-time intervention system to automatically reconfigure the workstation and chair to reduce the injury/disorder risk.Broad Impacts: The broader Impact is that our project achieves substantial reduction in office-related health disorders, such as lower back pain, promoting improved lifestyle quality in the office and in our homes. The proposed research results in a unique and diverse generation of undergraduate and graduate researchers capable to address this new class of multidisciplinary problems and encourages active participation of women and underrepresented.

概述：电脑和互联网的使用极大地改变了我们的生活方式，并使我们面临许多重大的职业健康危害，包括与长时间坐着有关的颈部和肩部疼痛以及腰痛。这些危害已经成为美国和世界其他地区的一个重大公共卫生问题。虽然已经确定了许多与生活方式有关的风险因素，但缺乏有效的监测和管理，无法长期预防这些疾病的发生。这个项目的目的是与利宝互助安全研究所合作，开发第一款智能活动椅子，以防止伤害和提高办公室安全。关键词：人体工程学，传感器融合，视觉跟踪，主动干预。智力价值：这项探索性研究的智力价值在于，我们的研究导致了一种基于多模态传感研究和技术的主动预防不健康生活方式的新范式。研究人员开发了一种新的方法来实时预测颈部、背部和肩关节负荷和肌肉力量，并开发了一种个性化的实时干预系统，以自动重新配置工作站和椅子，以降低损伤/疾病风险。广泛影响：更广泛的影响是，我们的项目大大减少了与办公室有关的健康疾病，如腰痛，促进了办公室和家庭生活方式的改善。拟议的研究结果产生了独特和多样化的一代本科生和研究生研究人员，他们有能力解决这类新的多学科问题，并鼓励妇女和代表性不足的妇女积极参与。

项目成果

A computer vision based method for 3D posture estimation of symmetrical lifting

• DOI: 10.1016/j.jbiomech.2018.01.012
• 发表时间: 2018-03-01
• 期刊: JOURNAL OF BIOMECHANICS
• 影响因子: 2.4
• 作者: Mehrizi, Rahil;Peng, Xi;Li, Kang
• 通讯作者: Li, Kang

Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach

• DOI: 10.1109/thms.2018.2884811
• 发表时间: 2019-02-01
• 期刊: IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
• 影响因子: 3.6
• 作者: Mehrizi, Rahil;Peng, Xi;Li, Kang
• 通讯作者: Li, Kang

A Deep Neural Network-based method for estimation of 3D lifting motions

• DOI: 10.1016/j.jbiomech.2018.12.022
• 发表时间: 2019-02-14
• 期刊: JOURNAL OF BIOMECHANICS
• 影响因子: 2.4
• 作者: Mehrizi, Rahil;Peng, Xi;Li, Kang
• 通讯作者: Li, Kang