PAPER PRESENTATION
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| Paper Session A2–Silver Industry Technology Rm 3.1 Day 1 – 23 April 2009 (THURSDAY) 11:00AM – 12:30PM |
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| Session | Description |
| 11:30AM – 11:45AM | A2–1 Fall Detection and Activity Monitoring System using Dynamic Time Warping for Elderly and Disabled People Sasiwan Paiyarom, Poj Tangamchit, Rachoporn Keinprasit*, Prakasith Kayasith* King Mongkut's University of Technology Thonburi, Thailand *National Electronics and Computer Technology Center (NECTEC), Thailand Abstract
We present a new system that both tracks human movements and detects falling in elderly and disable people. We applied Dynamic Time Warping(DTW) to recognize human activities of daily living. Seven different movements, stand, sitt, walk, run, stand-to-sit, sit-to-stand and lyings were considered and were kept to reference databases signals. Our system consists of two parts: transmitter and receiver. A transmitter part is the device mounted at the user's waist within a pager case measuring 90x40x20 mm. A sensor used in this device is a 3-axial accelerometer (Hitachi H48C). The signals from the accelerometer are transmitted wirelessly to a personal computer in receiver part using Zigbee Pro 2.4GHz. A personal computer only requires MATLAB7 program to recognize our system. DTW is used to match the signals from different behaviors in online with the databases. DTW will find a minimal path between two time series: the test signal and the reference database signal. This minimal value can classify a kind of activity of that test signal. In addition, we use the thresholds with repeated lying after the test signal amplitude is over thresholds to detect falling. Thresholds are from the minimal and maximal value in each axis of acceleration in reference databases. The experiment shows 98.6 percent accuracy in recognizing these behaviors and fall detection. Full text: PDF (173 kB) |
| 11:15AM – 11:30AM | A2–2 An Exploratory Study on Senior Citizens' Perceptions of the Nintendo Wii: A Case of Singapore Yin-Leng Theng Nanyang Technological University, Singapore Abstract
Recent developments in digitally mediated games such as the Nintendo Wii aim to encourage exercise. This paper focuses on assessing the efficacy of the Nintendo Wii, popular in the United States and Japan, in promoting regular exercise among senior citizens in Singapore (aged 65 years and above). Adapting from the Technology Acceptance Model (TAM), this exploratory study examines senior citizens' perceptions of the Nintendo Wii. Twenty-eight participants took part in this pilot study conducted at a senior citizens centre in Singapore. Data collection was carried out via a self-reported questionnaire and video observation. Findings indicate that senior citizens perceived the Nitindo Wii usable with realistic depictions of games and had positive engagement with the Wii games. However, contrary to prior belief, findings did not show that perceived usefulness has a significant influence on senior citizens' intention to use the Wii for improving social interaction, health and exercise. The paper concludes with a discussion on the design and impact of digitally mediated games for elderly users. Full text: PDF (70 kB) |
| 11:30AM – 11:45AM | A2–3 Evaluation of Fall Detection for the Elderly on a Variety of Subject Groups Patimakorn Jantaraprim, Pornchai Phukpattaranont, Chusak Limsakul, Booncharoen Wongkittisuksa Prince of Songkla University, Thailand Abstract
Falls in the elderly are a major problem for today's society. If the elderly could get help immediately after the fall, the severity of the injury could be reduced. Also, it results in decreasing the rate of death and the medical cost. This paper presents a fall detection algorithm based on the threshold value of the maximum peak resultant acceleration to classify falls and Activity of Daily Live (ADL). Two types of the experiments were investigated. Type A) ten young subjects performed both falls and ADL. Type B) ten young subjects performed falls whereas ten elderly subjects performed ADL. In the experiment, tri-axial accelerometer was mounted on the trunk. There were four categories of falls: forward fall, backward fall, left and right side fall and six categories of ADL: sit-stand, stand-sit, sit-lie, lie-sit, bend down, and walking 2 m. For the threshold of the maximum peak resultant acceleration at 1.9g, falls could be distinguished from ADL with 100% sensitivity in both Type A and B while specificity for Type A and B were 96.11% and 98.33%, respectively. Results indicate that the trend in classification of fall from ADL in the elderly could gain the increase in error. Therefore, more sophisticated algorithms for the classification of fall from ADL in the elderly are needed to improve performance of detection. Full text: PDF (98 kB) |
| 11:45AM – 12:00PM | A2–4 Adult Children's Perceptions of Intelligent Home Systems in the Care of Elderly Parents Joseph Coughlin, Lisa D'Ambrosio, Bryan Reimer, Jasmin Lau* Massachusetts Institute of Technology AgeLab, USA *Singapore Ministry of Manpower, Singapore Abstract
Smart home technologies and services are widely researched and being commercialized for use in the homes of older adults throughout the world. However, widespread adoption by older adults of even the most affordable and simple systems has been mixed. While older adults may be the "users" of such technologies, we seek to understand the perceptions held by key "influencers" in the buy and use decisions – the adult child. We present an exploratory study based upon a convenience sample of adult children most likely to embrace intelligent home systems and services. Survey respondents are highly educated technology savvy, middle to high-income adult children ages 35 and older. This group represents possible "lead adopters" that might advance the commercialization of these potentially useful technologies. Findings suggest that trust in the accuracy of the system, privacy concerns and willingness to intervene in a parent's home may present challenges to adoption even among tech-savvy adult children. Full text: PDF (33 kB) |
| 12:00PM – 12:15PM | A2–5 The Gator Tech Smart House: Enabling Technologies and Lessons Learned Sumi Helal, Chao Chen University of Florida, USA Abstract
In this paper, we describe the Gator Tech Smart House (GTSH), an assistive environment for independence and wellbeing, with focus on the elderly population. We give a quick overview of the GTSH and its services before presenting our experience and some of the lessons we learnt in this real world deployment project. We present the Atlas architecture – a key enabling technology for the automatic integration of devices and sensors and show how can Atlas be used to develop smart environments without requiring a team of engineers or system integrators. Finally, we discuss ongoing related Atlas developments. Full text: PDF (149 kB) |