eCushion: An eTextile Device for Sitting Posture Monitoring

Xu, Wenyao; Li, Zhinan; Huang, Ming-Chun; Amini, Navid; Sarrafzadeh, Majid

doi:10.1109/bsn.2011.24

Cited by 46 publications

(33 citation statements)

References 11 publications

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“…Mutlu [6] proposed a lowcost solution with reduced sensors to detect sitting postures by a near optimal sensor placement strategy with a classifier based on logistic regression. Xu [7] designed a textile-based sensing system for sitting posture monitoring and proposed an optimized strategy to compensate the signal to improve the classification accuracy.…”

Section: Introductionmentioning

confidence: 99%

Smart Chair for Monitoring of Sitting Behavior

Huang¹,

Gibson²,

Yang³

2017

KEG

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<p class="1">Sitting is a common behavior of human body in daily life. It is found that poor sitting postures can link to pains and other complications for people in literature. In order to avoid the adverse effects of poor sitting behavior, we have developed a highly practical design of smart chair system in this paper, which is able to monitor the sitting behavior of human body accurately and non-invasively. The pressure patterns of eight standardized sitting postures of human subjects were acquired and transmitted to the computer for the automatic sitting posture recognition with the application of artificial neural network classifier. The experimental results showed that it can recognize eight sitting postures of human subjects with high accuracy. The sitting posture monitoring in the developed smart chair system can help or promote people to achieve and maintain healthy sitting behavior, and prevent or reduce the chronic disease caused by poor sitting behavior. These promising results suggested that the presented system is feasible for sitting behavior monitoring, which can find applications in many areas including healthcare services, human-computer interactions and intelligent environment.</p>

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Section: Introductionmentioning

confidence: 99%

Smart Chair for Monitoring of Sitting Behavior

Huang¹,

Gibson²,

Yang³

2017

KEG

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“…The advantage of this design is the 64×128 sensor structure has only 192 I/O pins, one for each of the bus lines. Further details of this scanning circuit design are described in our related work [16]. Figure 3(a) shows an example of a user lying on the bedsheet.…”

Section: Bedsheet Designmentioning

confidence: 99%

“…The system consists of three components: a 64 × 128 pressure sensor array, a data sampling unit, and a tablet for data analysis and storage. The sensor array is based on eTextile material which is a fiber-based yarn coated with piezoelectric polymer [16]. The initial resistance between the top and bottom surfaces is high.…”

Section: Bedsheet Designmentioning

confidence: 99%

“…in the lateral axis of the bedsheet. Hip Features (16)(17)(18)(19)(20)(21)(22)(23) Since pre-processing of the image is done initially, we make the assumption that the hip is located in the quarter of the image below the center of mass of the pressure image. An estimate of the hip location is taken to be the pixel that is located at the weighted center of pixels in this quarter image.…”

Section: Coverage Features (1-12)mentioning

confidence: 99%

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A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring

Liu

Huang

et al. 2013

2013 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Sleep plays a pivotal role in the quality of life, and sleep posture is related to many medical conditions such as sleep apnea. In this paper, we design a dense pressuresensitive bedsheet for sleep posture monitoring. In contrast to existing techniques, our bedsheet system offers a completely unobtrusive method using comfortable textile sensors. Based on high-resolution pressure distributions from the bedsheet, we develop a novel framework for pressure image analysis to monitor sleep postures, including a set of geometrical features for sleep posture characterization and three sparse classifiers for posture recognition. We run a pilot study and evaluate the performance of our methods with 14 subjects to analyze 6 common postures. The experimental results show that our proposed method enables reliable sleep posture recognition and offers better overall performance than state-of-the-art methods, achieving up to 83.0% precision and 83.2% recall on average.

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“…Xu et al reported a sitting-posture monitoring system, (3) for which they applied an array of piezoresistance sensors to a cushion, and classified the sitting postures into several classes. developed an elastic conductive webbing and applied it to a wearable gesture-sensing device.…”

Section: Introductionmentioning

confidence: 99%

Human Joint Angle Estimation with Multiple-strip E-textile Stretching Sensor

Han¹,

Ryu²,

Kim³

2018

Sensors and Materials

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There have been many studies on strain-resistance or piezoresistance e-textile sensors. However, the important and critical factor, i.e., the elongation capability of the sensor against the actual stretching of the skin, has not been addressed yet. In this study, we propose a human joint angle estimation method with e-textile strain-resistance sensors. The stretching of the skin, on which the sensor is attached, is visually analyzed in terms of the stretching capability of the sensor and the actual stretching length of the skin. The overall system platform used to obtain and process the sensor data is described. The proposed system is implemented and applied to the elbow joint of a healthy subject. It was found that the sensors should be attached to the skin properly, especially when the skin is not stretched. It is necessary to consider the stretching capability of the sensor to accommodate the actual stretching of the skin. The two sensors attached on the lateral and medial sides provide complementary information, which can be utilized in a sensor fusion context.

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eCushion: An eTextile Device for Sitting Posture Monitoring

Cited by 46 publications

References 11 publications

Smart Chair for Monitoring of Sitting Behavior

Smart Chair for Monitoring of Sitting Behavior

A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring

Human Joint Angle Estimation with Multiple-strip E-textile Stretching Sensor

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