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.

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[1] KENNEDY OKAFOR, "WearROBOT Code Script", IEEE Dataport, 2022. [Online]. Available: Accessed: May. 18, 2024.
doi = {10.21227/70hz-nh80},
url = {},
author = {KENNEDY OKAFOR },
publisher = {IEEE Dataport},
title = {WearROBOT Code Script},
year = {2022} }
T1 - WearROBOT Code Script
PY - 2022
PB - IEEE Dataport
UR - 10.21227/70hz-nh80
ER -
KENNEDY OKAFOR. (2022). WearROBOT Code Script. IEEE Dataport.
KENNEDY OKAFOR, 2022. WearROBOT Code Script. Available at:
KENNEDY OKAFOR. (2022). "WearROBOT Code Script." Web.
1. KENNEDY OKAFOR. WearROBOT Code Script [Internet]. IEEE Dataport; 2022. Available from :
KENNEDY OKAFOR. "WearROBOT Code Script." doi: 10.21227/70hz-nh80