Titlebook: Wearable Sensors and Robots; Proceedings of Inter Canjun Yang,G. S. Virk,Huayong Yang Conference proceedings 2017 Zhejiang University Press

易于出錯(cuò)

Human Gait Trajectory Learning Using Online Gaussian Process for Assistive Lower Limb Exoskeleton required to wear the exoskeleton without actuation system and walks freely as far as possible. After purifying the dataset, a subspace of training set with appropriate dimensionality is chosen. The subspace will be regarded as the training dataset and is applied in the online sparse GP regression.

Delectable

網(wǎng)絡(luò)添麻煩

Reducing the Human-Exoskeleton Interaction Force Using Bionic Design of Jointship joint and to reduce human-exoskeleton interaction forces by 75.4?% during knee flexion with bionic knee joint. The results of interaction forces led to a more ergonomic and comfortable way to wear exoskeleton system.

Guileless

Reducing the Human-Exoskeleton Interaction Force Using Bionic Design of Jointship joint and to reduce human-exoskeleton interaction forces by 75.4?% during knee flexion with bionic knee joint. The results of interaction forces led to a more ergonomic and comfortable way to wear exoskeleton system.

SAGE

Feigned

熟練

1876-1100 nference was to bring together academics, researchers, engineers and students from across the world to discuss state-of-the-art technologies related to various aspects of wearable sensors and robots.???.978-981-10-9607-5978-981-10-2404-7Series ISSN 1876-1100 Series E-ISSN 1876-1119

意見(jiàn)一致

Haiyan Liu,Yancheng Wang,Deqing Mei,Yaoguang Shi,Zichen Chen

Focus-Words

忍耐

Yancheng Wang,Kailun Xi,Deqing Mei,Zhihao Xin,Zichen Chen