A passive, research-grade wearable exoskeleton engineered to capture, classify, and translate human gait patterns into actionable biomechanical data — enabling the next generation of personalized powered rehabilitation systems.
Avatar integrates absolute encoders at the hip and knee joints with multi-axis IMU sensors across the lower limbs and torso. Together, they provide a complete kinematic signature of each individual's gait cycle — capturing angle, displacement, velocity, and movement intent in real time.
Avatar is validated across the full spectrum of daily life locomotion patterns, enabling comprehensive biomechanical profiling for both healthy and sub-healthy populations.
Avatar's core innovation lies in mapping the sub-healthy user's gait initiation signals onto the normative healthy gait cycle. These onset triggers — extracted from the Avatar data stream — serve as the AI training corpus for commissioning a bespoke powered exoskeleton, ensuring the assistive output mirrors natural, healthy locomotion rather than compensating for it.
This preserves the integrity of the unaffected limb and prevents the accelerated joint degeneration — affecting the contralateral knee and hip — that is commonly observed in long-term unilateral compensation strategies.
| System Layer | Standing | Walking | Sitting Down |
|---|---|---|---|
| User Input (Sub-healthy) | Onset Signal | Onset Signal | Onset Signal |
| Exoskeleton Controller | Normative Gait Pattern | Normative Gait Pattern | Normative Gait Pattern |
| Motor Output | Healthy Posture | Healthy Stride | Healthy Sit Pattern |
In unilateral impairment cases, patients instinctively over-rely on their stronger limb. Without intervention, this compensation pattern accelerates degenerative joint disease in the knee and hip of the healthy side — a clinical trajectory that unfolds silently over 5 to 10 years.
Avatar's gait mapping and structured motion-intent data help restore a more symmetric movement pattern from the beginning of deployment. The goal is not only to record gait behavior, but also to support future powered assistance that protects the healthy limb while reducing long-term compensatory stress.
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一款被動式、研究級穿戴外骨骼,專為擷取、分類與轉譯人體步態模式而設計,將生物力學數據轉化為可執行的訓練語料,賦能下一代個人化動力復健系統。
Avatar 於髖關節與膝關節整合絕對值編碼器,並於雙腿及軀幹配置多軸 IMU 感測器,共同建構每位使用者步態週期的完整運動學特徵——即時擷取角度、位移、角速度及行動意圖等多維資料。
Avatar 已通過日常生活全譜系步態模式的驗證,可為健康及亞健康族群提供全面的生物力學建檔。
Avatar 的核心創新在於:將亞健康使用者的步態啟動訊號,對應到正常健康者的步態循環。這些從 Avatar 資料串流中提取的啟動觸發訊號,作為 AI 訓練語料,用於為客製化動力外骨骼建立感測控制機制,確保輔助輸出模擬自然健康的步態模式,而非單純補償。
此機制有效保護健側肢體的關節完整性,防止長期單側代償策略所導致的對側膝關節與髖關節加速退化——這一臨床問題通常在 5 至 10 年內悄然發展。
| 系統層級 | 站立 | 行走 | 坐下 |
|---|---|---|---|
| 使用者輸入(亞健康) | 啟動訊號 | 啟動訊號 | 啟動訊號 |
| 外骨骼控制器 | 健康者步態模式 | 健康者步態模式 | 健康者步態模式 |
| 馬達輸出 | 健康者站姿 | 健康者步幅 | 健康者坐下步態 |
在單側肢體損傷的情況下,患者本能地過度依賴健側肢體。若不加以干預,這種代償模式將在 5 至 10 年內加速健側膝關節與髖關節的退行性病變,形成緩慢而隱性的臨床惡化過程。
Avatar 透過步態映射與行動意圖資料擷取,協助建立更對稱的動作基準。
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