Prior researches have shown the potential that WiFi signals could be used for human activities recognition (HAR), or monitor a person's gait for human identification (HI).  Recently researchers pay more attention to the impact of environmental factors such as activity orientation, walking trajectory, WiFi device location, etc. on the HAR or HI tasks' performance.

DOI Link: 
10.21227/pe5x-x235
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[1] Jin Zhang, "A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/pe5x-x235. Accessed: Dec. 13, 2024.
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doi = {10.21227/pe5x-x235},
url = {http://dx.doi.org/10.21227/pe5x-x235},
author = {Jin Zhang },
publisher = {IEEE Dataport},
title = {A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset},
year = {2022} }
TY - DATA
T1 - A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset
AU - Jin Zhang
PY - 2022
PB - IEEE Dataport
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Jin Zhang. (2022). A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset. IEEE Dataport. http://dx.doi.org/10.21227/pe5x-x235
Jin Zhang, 2022. A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset. Available at: http://dx.doi.org/10.21227/pe5x-x235.
Jin Zhang. (2022). "A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset." Web.
1. Jin Zhang. A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/pe5x-x235
Jin Zhang. "A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset." doi: 10.21227/pe5x-x235