4.8 Article

Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion

Journal

ACS NANO
Volume 15, Issue 12, Pages 19054-19069

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c04464

Keywords

triboelectric; Internet of Things; energy harvesting; artificial intelligence; walking stick

Funding

  1. National Key Research and Development Program of China at NUSRI, Suzhou, China [2019YFB2004800, R-2020-S-002]
  2. RIE Advanced Manufacturing and Engineering (AME) programmatic grant Nanosystems at the Edge at NUS, Singapore [A18A4b0055]
  3. Guangdong Natural Science Funds [2018A050506001]
  4. Shenzhen Science and Technology Innovation Committee [JCYJ20200109105838951]

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The walking stick, powered by ultralow-frequency human motion and equipped with advanced sensing features, serves as a healthcare monitoring platform for motion-impaired users. It provides functionalities such as identity recognition, disability evaluation, and motion status distinguishing, along with GPS tracing and environmental sensing. The caregiving walking stick demonstrates the potential to be an intelligent aid for motion-impaired users to live life with autonomy and safety.
The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, the walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical support, such as activity monitoring, tracing, and accident alert. Here, we report a walking stick powered by ultralow-frequency human motion and equipped with deep-learning-enabled advanced sensing features to provide a health-caremonitoring platform for motion-impaired users. A linear-torotary structure is designed to achieve highly efficient energy harvesting from the linear motion of a walking stick with ultralow frequency. Besides, two kinds of self-powered triboelectric sensors are proposed and integrated to extract the motion features of the walking stick. Augmented sensing functionalities with high accuracies have been enabled by deep-learning- based data analysis, including identity recognition, disability evaluation, and motion status distinguishing. Furthermore, a self- sustainable Internet of Things (IoT) system with global positioning system tracing and environmental temperature and humidity amenity sensing functions is obtained. Combined with the aforementioned functionalities, this walking stick is demonstrated in various usage scenarios as a caregiver for real-time well-being status and activity monitoring. The caregiving walking stick shows the potential of being an intelligent aid for motion-impaired users to help them live life with adequate autonomy and safety.

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