Résumé
The way we walk at home, that is, in a restricted and obstacle-ridden environment filledwith furniture, reveals crucial information about locomotor efficiency. Trajectories, walkingmetrics, and space occupancy are for instance personalized variables that allow studyingindoor human locomotor behavior. Links between psychological states and human loco-motion(1) have been preliminary addressed, and it would be helpful to identify a walkingsignature of psychological states including wellness. The objective of this research was tostudy the evolution of human locomotor behavior through (i) space occupancy(2), (ii) loco-motor trajectories(3) and (iii) indoor walking metrics(4). Activations related to participants’movements were continuously captured and recorded by a smart floor, the SensFloor(5).This capacitive proximity capture device was installed in the HUman at home projecT(6)apartment in Montpellier, South of France. Trajectories were detected, identified and recon-structed by the Walk@Home algorithm(7) which allowed to quantify walking metrics such asdistance, time, walking velocity and space occupancy. Analyses were conducted on a dyadof participants, during four years of real occupancy of the apartment. Locomotor behaviorfrom the first dyad (222 days, 660 000 steps, 423 km) already revealed an average of 190trajectories per day, with (i) an average walking speed =0,59 m/s (=0,03 m/s), (ii) an av-erage daily walking distance = 1000m, and (iii) an average walking time of = 1 683,89s.The longitudinal study of walking parameters over the four years of recording now allows usto focus on a motor signature of home walking and, in perspectives, on its correspondencewith well-being.