Table 3.

Study aims and specific methods and their focus to achieve each aim.

Aim and method		Focus
Aim 1: to test the feasibility of developing a novel CSIa-based device-free Wi-Fi sensing system using MLb classification to identify in-home daily activities and mobility
	Ground truth data annotations ML model development	Evaluation of the accuracy of Wi-Fi sensing–based ML models in activity detection
	Screening and enrollment log analysis	Recruitment feasibility
Aim 2: To explore the acceptability of the Wi-Fi sensing system and implementation barriers in the low-income housing setting
	Qualitative interviews	Wi-Fi sensing technology acceptance, privacy concerns, and factors leading to technology implementation

^aCSI: channel state information.

^bML: machine learning.