System Architecture for VR Yoga Therapy Platform with 6-DoF Whole-Body Avatar Tracking.

Alexander Ah Kupin, Sean Banerjee, Natasha Banerjee, Serge H Roy, Joshua C Kline, Bhawna Shiwani
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Abstract

Chronic pain is a leading cause of morbidity among children and adolescents affecting 35% of the global population. Pediatric chronic pain management requires integrative health methods spanning physical and psychological subsystems through various mind-body interventions. Yoga therapy is one such method, known for its ability to improve the quality of life both physically and psychologically in chronic pain conditions. However, maintaining the clinical outcomes of personalized yoga therapy sessions at-home is challenging due to fear of movement, lack of motivation, and boredom. Virtual Reality (VR) has the potential to bridge the gap between the clinic and home by motivating engagement and mitigating pain-related anxiety or fear of movement. We developed a multi-modal algorithmic architecture for fusing real-time 3D human body pose estimation models with custom developed inverse kinematics models of physical movement to render biomechanically informed 6-DoF whole-body avatars capable of embodying an individual's real-time yoga poses within the VR environment. Experiments conducted among control participants demonstrated superior movement tracking accuracy over existing commercial off-the-shelf avatar tracking solutions, leading to successful embodiment and engagement. These findings demonstrate the feasibility of rendering virtual avatar movements that embody complex physical poses such as those encountered in yoga therapy. The impact of this work moves the field one step closer to an interactive system to facilitate at-home individual or group yoga therapy for children with chronic pain conditions.

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具有 6-DoF 全身头像跟踪功能的 VR 瑜伽治疗平台的系统架构。
慢性疼痛是儿童和青少年发病的主要原因,影响着全球 35% 的人口。小儿慢性疼痛的治疗需要通过各种身心干预措施,采取跨越生理和心理子系统的综合保健方法。瑜伽疗法就是这样一种方法,因其能够改善慢性疼痛患者的生理和心理生活质量而闻名。然而,由于对运动的恐惧、缺乏动力和厌倦,在家中保持个性化瑜伽治疗课程的临床效果具有挑战性。虚拟现实(VR)通过激励参与和减轻与疼痛相关的焦虑或对运动的恐惧,有可能在诊所和家庭之间架起一座桥梁。我们开发了一种多模态算法架构,用于将实时三维人体姿势估计模型与定制开发的物理运动逆运动学模型融合在一起,从而呈现出生物力学上的 6-DoF 全身化身,能够在 VR 环境中体现个人的实时瑜伽姿势。在对照组参与者中进行的实验表明,与现有的商用现成化身跟踪解决方案相比,该方案具有更高的运动跟踪准确性,能够成功地体现和吸引参与者。这些研究结果证明了渲染虚拟化身动作的可行性,虚拟化身动作可以体现复杂的物理姿势,如瑜伽治疗中遇到的姿势。这项工作的影响使该领域离交互式系统更近了一步,该系统可帮助患有慢性疼痛的儿童在家中进行个人或集体瑜伽治疗。
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System Architecture for VR Yoga Therapy Platform with 6-DoF Whole-Body Avatar Tracking.
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