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AuthorsK.-W. Chang, Y.-L. Hsu, C.-Y. Huang, L.-S. Hsu, T.-Y. Wu, Y.-H. Lin. (2016-11-23) ; Recommend: Yeh-Liang Hsu (2016-11-23).
Note: This paper is published on International Society for Gerontechnology (ISG 2016), vol. 15, (suppl.), pp.8-8, November, 2016.

Development of a Smart Living Space Platform Based on Motion Sensing Carpet

Purpose Changes in mobility level for older adults are highly related to the transition from relatively independent living to ill and declined functional health status. In addition, wandering behaviour is significantly more prevalent in patients with Alzheimer Dementia (AD), patients with dementia of longer duration, and patients with more severe dementia. It is important to provide objective and accurate approaches for localization, walking trajectory and long-term mobility level assessment in elderly care environment. Motion sensing floors have been developed for this purpose. Considering user acceptance, the technology has to be unobtrusive, easy to use, low cost, and be a natural part of the home environment. This paper presents the development of WhizCARPET, a motion sensing carpet for tele-monitoring of mobility level, indoor locations, walking trajectory and fall events in an unobtrusive way for older adults in the care environment. Method The motion sensing carpet WhizCARPET is developed in the form of 50cm×50cm “puzzle floor mat”, which allows the users to DIY assemble the units according to their desired shape and area. The auto mapping firmware identifies relative positions of all units after assembly. Instead of adding sensing components to the carpet, the puzzle floor mat unit itself is designed into a motion sensor. The working principle is similar to that of a membrane switch. Once a WhizCARPET unit is under pressure, the top and bottom layers make contact with each other. Different pressure will create different contact quality and therefore generates different resistance. I2C bus is used for data transmission between units, and built-in wi-fi and low-power bluetooth transmit sensing data to the cloud server and mobile devices. Programs built in the cloud server and mobile device App provide functions of localization, walking trajectory, mobility monitoring and fall detection. Results & Discussion Localization and mobility monitoring are fundamental technologies for constructing a smart living space. The smart living platform based on motion sensing WhizCARPET has been developed and implemented in a living lab (Figure 1). Based on this platform, several analysis models for elderly care are expanded, including detection and notification for real-time incidents, analysis of daily routine. This research also uses “Fractal D’’ of the walking trajectory data collected by WhizCARPET as an index for wandering behaviour of dementia patient1. The walking trajectory of wandering behavior of dementia patients in a nursing home was monitored continuously for 20 days. Four basic walking trajectory patterns were observed: direct travel, lapping, random travel and pacing2 (Figure 2). Fractal D of each walking trajectory can be calculated and recorded. WhizCARPET is in a “Body, Cerebellum and Brain (BCB)” system structure which enables it to be an open platform. It can be used in not only home teleheath applications but also multiple interactive applications, by developing different Apps on the mobile devices (Brain) which receives signals from the MCU (Cerebellum) of WhizCarpet (Body). WhizCarpet allow the user to modify or change Apps in order to change the interaction.


1. Kearns, W. D., Nams, V. O., Fozard, J. L. Tortuosity in movement paths is related to cognitive impairment; 2010; Methods Inf Med49(6), 592-598.

2. Martino-Saltzman, D., Blasch, B. B., Morris, R. D., & McNeal, L. W. Travel behavior of nursing home residents perceived as wanderers and nonwanderers; 1991; The Gerontologist31(5), 666-672.

Keywords: Elderly care, motion sensing carpet, dementia, wandering behavior

Address: Gerontechnology Research Center, Yuan Ze University, Taoyuan, Taiwan

E: kevinchang0112@gmail.com

Figure 1. Localization and mobility monitoring are fundamental technologies for a smart living space.

Figure 2. Four basic walking trajectory  patterns were observed.