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WearROBOT Code Script

Citation Author(s):
KENNEDY OKAFOR (FEDERAL UNIVERSITY OF TECHNOLOGY OWERRI)
Submitted by:
Kennedy Chinedu Okafor
Last updated:
DOI:
10.21227/70hz-nh80
Data Format:
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Abstract

Human activity wearable obstacle detection for the visually impaired (VI) is developed for routine monitoring and observation of surrounding events. Environmental observation, home surveillance, and assistive supports are now built on wearable devices using Inertia-based sensors, such as accelerometers, linear acceleration, and gyroscopes. Previous assisted living system (ALS) still faces challenges in energy management and resource allocation when performing daily activities, particularly with ambulation. Legacy systems cannot fully improve self-esteem, hence, WearROBOT. It detects rearview obstacles and has an audio feedback system incorporated for voicing out once an obstacle is detected. 

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