PaperarXiv:2611.09323

DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation

PreprintDated Nov 9, 2026Added Nov 9, 2026

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Authors: M. M. Golam Hafiz, Safia Akter Simi, Md. Rakibul Islam (Malardalen Univ., corresponding), M. F. Mridha (AIUB)

arXiv preprint

TL;DR

Two-stage source-to-target IMU translation: a FiLM U-Net Direct guide, then diffusion on the residual only. 5-fold held-out activity-location nRMSE 0.0875 vs 0.0903 Direct (5/5 folds); 4-step DDIM 47.6 ms on T4; zero-shot transfer mixed (wins Grouvel, loses Saldana).

Abstract

Cross-location variation in wearable inertial measurement unit (IMU) signals complicates learning when measurements from a desired target body location are unavailable. This study proposes DiffusionRef-IMU, a two-stage cross-location translation framework in which a deterministic Direct network first estimates the target signal and a guide-anchored residual diffusion model refines only the remaining target discrepancy. The evaluation comprises five subject-disjoint activity-location composition-held-out folds, capacity-matched deterministic and flow-based residual baselines, source-only activity conditioning, computational ablation, and true zero-shot evaluation on two independent datasets. DiffusionRef-IMU with 16-step deterministic DDIM achieved a mean nRMSE of 0.087538 +/- 0.004922, compared with 0.090262 for Direct, 0.088847 for deterministic residual refinement, and 0.088417 for eight-step CompFlow, and outperformed each baseline in all five folds. Four-step DDIM retained a mean nRMSE of 0.087820 at 47.62 ms per window, providing a favourable quality-computation trade-off. Replacing ground-truth activity conditioning with a source-only activity predictor (macro-F1 0.8473) increased 16-step DiffusionRef nRMSE only to 0.088190. True zero-shot evaluation produced mixed results: DiffusionRef was marginally favourable on Grouvel2025 but remained worse than Direct on Salda\~na2025. Overall, guide-anchored residual diffusion improves controlled cross-location reconstruction while revealing clear limits in zero-shot external transfer.

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Tasks & signals

Tasks

Activity recognition

Signals

Keywords

Synthetic IMUVirtual SensingCross Location TranslationDiffusionDdimHar

How it works

How Method works: Setup → Method → TargetSetup: Signals (accelerometer, gyroscope). Method: Method. Target: Activity recognition.SetupSignals: accelerometer, gyroscopexyzSignalsaccelerometer, gyroscopeMethodMethodTargetActivity recognitionActivity recognition

Cite this paper

Cite this paper with the fields recorded here. Check it against the publisher before submitting.

Hafiz, M. M. G., Simi, S. A., Islam, M. R., & Mridha, M. F. (2026). DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation. arXiv preprint. https://arxiv.org/abs/2611.09323
Hafiz, M. M. Golam, Safia Akter Simi, Md. Rakibul Islam, and M. F. Mridha. 2026. "DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation." arXiv preprint. https://arxiv.org/abs/2611.09323.
Hafiz, M. M. G., Simi, S. A., Islam, M. R. and Mridha, M. F. (2026) 'DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation', arXiv preprint. Available at: https://arxiv.org/abs/2611.09323
Hafiz, M. M. Golam, et al. "DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation." arXiv preprint, 2026. https://arxiv.org/abs/2611.09323.
M. M. G. Hafiz, S. A. Simi, M. R. Islam, and M. F. Mridha, "DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation," arXiv preprint, 2026, [Online]. Available: https://arxiv.org/abs/2611.09323.
@misc{hafiz2026diffusionrefimu,
  title         = {{DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation}},
  author        = {Hafiz, M. M. Golam and Simi, Safia Akter and Islam, Md. Rakibul and Mridha, M. F.},
  year          = {2026},
  howpublished  = {arXiv preprint},
  eprint        = {2611.09323},
  archivePrefix = {arXiv}
}

Source metadata: 2026

Record updated Nov 9, 2026

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