Assistive gait wearable robots (AGWR) have shown a great advancement in developing intelligent devices to assist human in their activities of daily living (ADLs). The rapid technological advancement in sensory technology, actuators, materials and computational intelligence has sped up this development process towards more practical and smart AGWR. However, most assistive gait wearable robots are still confined to be controlled, assessed indoor and within laboratory environments, limiting any potential to provide a real assistance and rehabilitation required to humans in the real environments. The gait assessment parameters play an important role not only in evaluating the patient progress and assistive device performance but also in controlling smart self-adaptable AGWR in real-time. The self-adaptable wearable robots must interactively conform to the changing environments and between users to provide optimal functionality and comfort. This paper discusses the performance parameters, such as comfortability, safety, adaptability, and energy consumption, which are required for the development of an intelligent AGWR for outdoor environments. The challenges to measuring the parameters using current systems for data collection and analysis using vision capture and wearable sensors are presented and discussed.
|Title of host publication||Reinventing Machatronics|
|Subtitle of host publication||Proceedings of Mechatronics 2018|
|Editors||Xiu-Tian Yan, David Bradley, Philip Moore|
|Place of Publication||Glasgow|
|Publisher||University of Strathclyde Publishing|
|Number of pages||7|
|Publication status||Published - 30 Sep 2018|
|Event||Mechatronics 2018 - Reinventing Mechatronics: 16th Mechatronics Forum International Conference - University of Strathclyde, Glasgow, United Kingdom|
Duration: 19 Sep 2018 → 21 Sep 2018
Conference number: 16
|Conference||Mechatronics 2018 - Reinventing Mechatronics|
|Abbreviated title||Mechatronics 2018|
|Period||19/09/18 → 21/09/18|
Abouhossein, A., Martinez-Hernandez, U., Awad, M. I., Bradley, D., & Dehghani-Sanij, A. A. (2018). Human-activity-centered measurement system: challenges from laboratory to the real environment in assistive gait wearable robotics. In X-T. Yan, D. Bradley, & P. Moore (Eds.), Reinventing Machatronics: Proceedings of Mechatronics 2018 (pp. 38-44). University of Strathclyde Publishing.