Marjorie Skubic

TL;DR: The perceptions and expectations of seniors in regard to ‘smart home’ technology installed and operated in their homes with the purpose of improving their quality of life and/or monitoring their health status are explored.

TL;DR: A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-stage fall detection system is presented and is compared against five state-of-the-art fall detection algorithms and significantly better results are achieved.

TL;DR: An overall positive attitude toward sensor technologies for nonobtrusive monitoring is indicated, and researchers and practitioners are called upon to address ethical and technical challenges in this emerging domain.

TL;DR: In this article, the authors investigate the use of spatial relationships to establish a natural communication mechanism between people and robots, in particular, for novice users, and show how linguistic spatial descriptions and other spatial information can be extracted from an evidence grid map and how they can be used in a natural human-robot dialog.

TL;DR: In this paper, the authors report ongoing work in which passive sensor networks have been installed in 17 apartments in an aging in place eldercare facility, including simple motion sensors, video sensors, and a bed sensor that captures sleep restlessness and pulse and respiration levels.