By Albert Ali Salah, Ben J.A. Kröse, Diane J. Cook
This booklet constitutes the court cases of the sixth foreign Workshop on Human habit knowing, HBU 2015, held in Osaka, Japan, in September 2015.
The eleven complete papers have been rigorously reviewed and chosen from 15 preliminary submissions. they're geared up in topical sections named: interplay with aged, studying habit styles, and cellular solutions.
Read Online or Download Human Behavior Understanding: 6th International Workshop, HBU 2015 Osaka, Japan, September 8, 2015. Proceedings PDF
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Additional resources for Human Behavior Understanding: 6th International Workshop, HBU 2015 Osaka, Japan, September 8, 2015. Proceedings
Springer, Heidelberg (2010) 18. : Human mobility monitoring in very low resolution visual sensor network. Sensors 14(11), 20800–20824 (2014). 3390/s141120800 19. : Physical and mental health eﬀects of family caregiving. ENALAB Technical report (2010) 20. : Obstructive sleep apnea, nocturia and polyuria in older adults. Sleep 27(1), 139– 144 (2004) How Are You Doing? nl Abstract. Technology designed to sense behavior, often neglects to directly incorporate subjective input from (elderly) users. This paper presents experiences in deploying technology that considers the elderly user and their subjective input as a way to enrich sensor data systems and empower the user.
4 m2 . Figure 2 displays the living space layout with camera positions. The voluntary older person participating in the installation is 83 years old with diabetes and decreased mobility due to a partial paralysis. However, the resident has a very clear mind. No instructions were given to the senior citizen about the way and the time of performing the sleep activity. The senior citizen was hospitalized in April 2014, December 2014 and January 2015 for 18, 8 and 9 days, respectively. One of the major challenges of the current setup is the unavailability of the visual sensors in the bedroom and the bathroom, which increase the diﬃculty of detecting accurate sleep durations and nightly bathroom visits.
About 20 % of the cases are overestimated and 6 % of the cases are underestimated by more than 30 min. There are more overestimates than underestimates of sleep durations due to standing up without putting the lights on. Figure 5 shows the estimates and the ground truth of the wake up time. The overestimates of the wake up time can be clearly seen in the winter period (Fig. 5b) than the summer period (Fig. 5b). Similarly, Fig. 6 shows the estimates and the ground truth of the sleep time. Next, we compute the cumulative score (CS) to evaluate the sleep duration performance within error ranges.
Human Behavior Understanding: 6th International Workshop, HBU 2015 Osaka, Japan, September 8, 2015. Proceedings by Albert Ali Salah, Ben J.A. Kröse, Diane J. Cook