The continuous expansion of novel power systems has been accompanied by frequent human factor-related safety incidents in electrical operations

highlighting the critical urgency of human factor safety management for ensuring grid stability and personnel safety. As a typical tightly-coupled human-machine-material-environment system

power production places “humans” at its core hub

whose safety status directly determines the overall system reliability. However

conventional management methods struggle to monitor operators' physiological states

cognitive loads

and emotional fluctuations in real time

and further lack capabilities for early warning of human factor risks. To address these challenges

this study systematically integrates human factors engineering theory into power industry practices. It proposes a theoretical framework for human factor safety in electrification

delineating its conceptual underpinnings and risk characteristics while examining its contemporary relevance and industry-specific particularities. A methodology system for human factor safety management

incorporating distinctive power industry features

is constructed. Furthermore

a multi-dimensional sensing solution is introduced

integrating wearable sensors

computer vision

non-line-of-sight radar

and brain-computer interfaces

thereby providing a technological pathway towards establishing a comprehensive health and safety monitoring system that spans multiple scenarios

full temporal domains

and all dimensions. Finally

the applications and challenges are summarized along with future perspectives.