论文标题
Physiq：物理治疗中锻炼的场外质量评估
PhysiQ: Off-site Quality Assessment of Exercise in Physical Therapy
论文作者
论文摘要
物理治疗（PT）对于患者恢复和维持迁移率，功能和福祉至关重要。在治疗师或临床医生的监督下，许多现场活动和身体锻炼都是进行的。但是，由于缺乏监督，质量评估和自我纠正，无法准确地进行某些练习的姿势。因此，在本文中，我们设计了一个新的框架Physiq，该框架通过被动感觉检测不断地跟踪和定量测量人们的异地运动活动。在框架中，我们创建了一种新型的多任务时空时空的暹罗神经网络，该神经网络通过基于个人的PT进展通过相似性比较来测量通过分类和相对质量来衡量绝对质量。 Physiq数字化和评估三个不同指标的练习：运动范围，稳定性和重复。
Physical therapy (PT) is crucial for patients to restore and maintain mobility, function, and well-being. Many on-site activities and body exercises are performed under the supervision of therapists or clinicians. However, the postures of some exercises at home cannot be performed accurately due to the lack of supervision, quality assessment, and self-correction. Therefore, in this paper, we design a new framework, PhysiQ, that continuously tracks and quantitatively measures people's off-site exercise activity through passive sensory detection. In the framework, we create a novel multi-task spatio-temporal Siamese Neural Network that measures the absolute quality through classification and relative quality based on an individual's PT progress through similarity comparison. PhysiQ digitizes and evaluates exercises in three different metrics: range of motions, stability, and repetition.
