In-home Health Monitoring System for Solitary Elderly

Tsukiyama, Toshifumi

doi:10.1016/j.procs.2015.08.338

Cited by 54 publications

(24 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study of Tsukiyama [10] proposed a monitoring system of solitary elderly based on urination, kitchen work, and physical cleanliness. The system monitors health status by using water flow sensors attached to faucets.…”

Section: Active Assistantsmentioning

confidence: 99%

Walker Ergonomic Design for Visually Impaired Elderly

Chao¹

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

The study proposed a self-driven guidance walker through user-oriented integration design. The common two-wheel drive performs left and right turn. By reducing the weight of the walker body, the durability of the battery can be increased. Secondly, we use a foldable structure so that the walker can be conveniently stored in a small space. A small number of sensors are required to reduce the complexity of signal processing. The front sensors of the walker are infra-red and ultra-sonic detectors, which determine and evade obstacles. The walker handle has three to five force sensors. The combination of the pressure data from these sensors can be used to determine the intent of the user, like turning or stopping.

show abstract

Section: Active Assistantsmentioning

confidence: 99%

Walker Ergonomic Design for Visually Impaired Elderly

Chao¹

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…The collected data from PIR sensors were used for the early detection of changes in activity level which was used to reduce the advancements of these diseases and lead to early interventions. Additionally, other non-wearable sensors are also being used for ADLs monitoring such as ultrasonic sensors [ 28 ], pressure sensors [ 29 ], vibration sensors [ 30 ], video-based sensors, low-resolution thermal sensors [ 31 ], wattmeter sensors [ 32 ], water flow sensors [ 33 ], magnetic door switches [ 34 ], and audio or sound sensors [ 35 ]. Table 1 presents a comparison of some properties of a set of sensors that were explored for ADLs detection.…”

Section: Monitoring Human Behaviourmentioning

confidence: 99%

A Behaviour Monitoring System (BMS) for Ambient Assisted Living

Eisa

Moreira

2017

Sensors

View full text Add to dashboard Cite

Unusual changes in the regular daily mobility routine of an elderly person at home can be an indicator or early symptom of developing health problems. Sensor technology can be utilised to complement the traditional healthcare systems to gain a more detailed view of the daily mobility of a person at home when performing everyday tasks. We hypothesise that data collected from low-cost sensors such as presence and occupancy sensors can be analysed to provide insights on the daily mobility habits of the elderly living alone at home and to detect routine changes. We validate this hypothesis by designing a system that automatically learns the daily room-to-room transitions and permanence habits in each room at each time of the day and generates alarm notifications when deviations are detected. We present an algorithm to process the sensors’ data streams and compute sensor-driven features that describe the daily mobility routine of the elderly as part of the developed Behaviour Monitoring System (BMS). We are able to achieve low detection delay with confirmation time that is high enough to convey the detection of a set of common abnormal situations. We illustrate and evaluate BMS with synthetic data, generated by a developed data generator that was designed to mimic different user’s mobility profiles at home, and also with a real-life dataset collected from prior research work. Results indicate BMS detects several mobility changes that can be symptoms of common health problems. The proposed system is a useful approach for learning the mobility habits at the home environment, with the potential to detect behaviour changes that occur due to health problems, and therefore, motivating progress toward behaviour monitoring and elder’s care.

show abstract

“…Some contributions are too focused in the sense that they only address a single requirement of elderly. For examples, a care system for dementia is presented by Lin et al (2006), while in-home water sensor-based monitoring and home monitoring systems with Android phones are investigated by Tsukiyama (2015) and Lee et al (2013), respectively. In addition, there are some studies which investigate the elderly monitoring systems based on a certain aspect (e.g., health-based, activity-based, locationbased, etc.).…”

Section: Significance and Motivationmentioning

confidence: 99%

Internet of things for remote elderly monitoring: a study from user-centered perspective

Azimi

Rahmani

Liljeberg

et al. 2016

J Ambient Intell Human Comput

172

View full text Add to dashboard Cite

Improvements in life expectancy achieved by technological advancements in the recent decades have increased the proportion of elderly people. Frailty of old age, susceptibility to diseases, and impairments are inevitable issues that these senior adults need to deal with in daily life. Recently, there has been an increasing demand on developing elderly care services utilizing novel technologies, with the aim of providing independent living. Internet of things (IoT), as an advanced paradigm to connect physical and virtual things for enhanced services, has been introduced that can provide significant improvements in remote elderly monitoring. Several efforts have been recently devoted to address elderly care requirements utilizing IoT-based systems. Nevertheless, there still exists a lack of user-centered study from an all-inclusive perspective for investigating the daily needs of senior adults. In this paper, we study the IoT-enabled systems tackling elderly monitoring to categorize the existing approaches from a new perspective and to introduce a hierarchical model for elderly-centered monitoring. We investigate the existing approaches by considering the elderly requirements at the center of the attention. In addition, we evaluate the main objectives and trends in IoT-based elderly monitoring systems in order to pave the way for future systems to improve the quality of elderly's life.

show abstract

In-home Health Monitoring System for Solitary Elderly

Cited by 54 publications

References 8 publications

Walker Ergonomic Design for Visually Impaired Elderly

Walker Ergonomic Design for Visually Impaired Elderly

A Behaviour Monitoring System (BMS) for Ambient Assisted Living

Internet of things for remote elderly monitoring: a study from user-centered perspective

Contact Info

Product

Resources

About