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Multi-person 3D pose estimation with WiFi channel state information (CSI) is challenging because reflections from different people overlap without directly identifying individual joints. Existing masked embedding objectives capture wireless relationships without explicit pose supervision, while structured decoders can retain coordinate errors. We propose WiSPER, a two-stage framework combining pose-aware predictive pretraining with conditional residual flow refinement. Pose-Aware Masked Embedding Learning (PAMEL) couples masked latent prediction with auxiliary pose-set supervision on the same CSI context, guiding the encoder toward joint localization from partial observations. Residual Flow refinement with Transformer (ReFT) generates a set of pose candidates to accommodate a variable number of people and refines each candidate through a conditional flow guided by its coarse coordinates and per-joint decoder features. Both stages use paired CSI and pose annotations during training, while inference requires only CSI. Experiments on the PiW3D dataset show that WiSPER achieves an overall mean per-joint position error of 63.72 mm, a 40.0% reduction relative to WiFi-JEPA. For experiments with two and three people, WiSPER reduces MPJPE by 42.1% and 38.1%, respectively. Pose-supervised pretraining configurations obtain lower errors than CSI-only JEPA, and enabling the trained residual refiner reduces overall MPJPE by 13.8-15.6% across the evaluated configurations.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Rong, G. L. J., Liu, S., Ng, P. C., Plataniotis, K. N., Seyedmohammadi, J., & Sheikholeslami, S. M. (2026). WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI. https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi
MLA 9
Rong, Gabriel Lee Jun, et al. "WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI." https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi.
شيكاغو (المؤلف–التاريخ)
Rong, Gabriel Lee Jun, Shanhong Liu, Pai Chet Ng, Konstantinos N. Plataniotis, Jamal Seyedmohammadi, and S. Mohammad Sheikholeslami. 2026. "WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI." https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi.
هارفارد
Rong, G. L. J., Liu, S., Ng, P. C., Plataniotis, K. N., Seyedmohammadi, J. and Sheikholeslami, S. M. (2026) 'WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI', Available at: https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi.
فانكوفر
Rong GLJ, Liu S, Ng PC, Plataniotis KN, Seyedmohammadi J, Sheikholeslami SM. WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI. https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi
IEEE
G. L. J. Rong, S. Liu, P. C. Ng, K. N. Plataniotis, J. Seyedmohammadi, and S. M. Sheikholeslami, "WiSPER: تحسين تدفق متبقٍّ وتنبؤي بإشراف الوضعية لتقدير وضعية متعددة الأشخاص ثلاثية الأبعاد باستخدام WiFi CSI," https://omanscience.com/ar/articles/wisper-pose-supervised-predictive-and-residual-flow-refinement-for-multi-person-3d-pose-estimation-with-wifi-csi.