Our latest research 𝗗𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝗚𝗮𝗶𝘁 𝗦𝗶𝗴𝗻𝗮𝘁𝘂𝗿𝗲𝘀: 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗶𝗻 𝗣𝗮𝘁𝗵𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗚𝗮𝗶𝘁 𝘂𝘀𝗶𝗻𝗴 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 has been published in IEEE Access @ @embs.org section 👉 doi.org/10.1109/ACCE...

#GaitAnalysis #Biomechanics #AI #ML #XAI #GaitSignature #BiomechSky

Corrected link here: doi.org/10.1016/j.jb...

⚡🚫 Caution: Be cautions when using variability-based metrics based on markerless data. The higher inter-trial variability could potentially lead to misleading results.

✅ 📉 Mitigation Strategies: Do not trust single waveforms, use avareged ones and make sure you have enough data to calculate robust mean waveforms.

Here are the key findings 🎯 📊 :

⬆ 📈 Increased Inter-Trial Variability: the markerless system exhibited an increase in inter-trial variability of up to 22%. It seems that the markerless pose estimation pipelines introduce additional variability in kinematic data ontop of the natural variability.

I am very happy to share our lastest study with #OpenCap, a markerless mocap solution based on smartphones. We evaluated the inter-trial variability between markerless and marker-based data. Our paper was just recently accepted and can be found here: lnkd.in/dsFufy8F

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