An Attachable Clothing Sensor System for Measuring Knee Joint Angles

Bergmann, Jeroen; Anastasova-Ivanova, Salzitsa; Spulber, Irina; Gulati, Vivek; Georgiou, Pantelis; McGregor, Alison H.

doi:10.1109/jsen.2013.2277697

Cited by 59 publications

(59 citation statements)

References 37 publications

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“…After this it moves higher in value but at slow rate and find it move up to marginally come down by few points. [8] [9] "A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees" This work shows usability of locomotion mode recognition system based on electromyography. The transtibial amputees with various levels of amputation have used for conducting evaluation experiments.…”

Section: Related Workmentioning

confidence: 99%

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Technical Issues and Challenges in Building Human Body Sensor Networks

Garg¹,

Gupta²

2015

ijacsa

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Abstract-In this research work, an exploration is done for identification of critical technical issues, problems, challenges in area of wireless body network sensors, which are continuous emerging as integral part of health monitoring systems. All this is possible due to the concept of 'Internet of Things' [5], in which day to day consumer devices, equipment are connected onto the network enabling information gathering and management of many vital signals. The first section gives introduction to wireless network developments in recent context, and then it is followed by discussion on existing work done in context of physical, Media access control and other aspects like energy consumption and security of such systems. The tabular summary on the gaps, limitations of Wireless body area network is done and based on this work; future directions are also suggested. Care has been taken to solicit high impact general paper for conducting this systematic study.

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Section: Related Workmentioning

confidence: 99%

“…Error in measurement of sensor [8] This depends upon the accuracy of digital instrument tool with which measurements are taken both in terms of hardware and software components. Unless nano, micro size is realized, there is limited scope of development in this area, as a human body must not feel burden of sensors in terms of weight, area ratio and volume.…”

mentioning

confidence: 99%

Technical Issues and Challenges in Building Human Body Sensor Networks

Garg¹,

Gupta²

2015

ijacsa

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“…Data was collected with Matlab (MathWorks, Inc., Natick, MA, USA) using a USB data acquisition board (USB 6211 DAQ, National Instruments, USA). More specifications and background information regarding the ACSS can be found in [9].…”

Section: Apparatusmentioning

confidence: 99%

“…A patient-centered and clinically driven prototype design for an attachable clothing sensor system has recently been presented [9]. This system consists of flexible sensors that can be connected to clothing to measure motion.…”

Section: Introductionmentioning

confidence: 99%

“…The deformation of the sensors alters the electrical properties (conductivity) of the sensor material, thus quantifying the change in sensor shape that occurs with human activity. It was shown that this sensor approach could accurately track motion in the sagittal plane when the knee was moved by dynamometry [9]. It is hypothesized that when the sensor is placed over a joint in unconstrained standing conditions, the amount of sensor deformation would increase when the joint becomes less stable.…”

Section: Introductionmentioning

confidence: 99%

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The “Wear and Measure” Approach: Linking Joint Stability Measurements from a Smart Clothing System to Optical Tracking

et al. 2015

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Joint stability is essential for maintaining normal everyday function. However, assessment of stability often still relies on subjective or obtrusive methods. An unobtrusive approach would be to have our clothes assess our joint stability. Methods. A new application consisting of an attachable clothing sensing system (ACSS), constructed from a flexible carbon black and polyurethane composite film, was tested against an optical tracking system to assess if the ACSS placed across the knee could provide stability results that correlate with the optical tracking outcomes. Stability was challenged by reducing the base of support and by removing vision generating different experimental conditions. Results. Bland and Altman plots indicated a general proportional error between the measurement systems within each stability condition. However, across all conditions a Spearman correlation coefficient of 0.81 ( < 0.001) was found between the displacement values and ACSS, showing a good association between stability measurements. Electromyography (EMG) also indicated that joint stability was challenged between the different conditions. The ACSS was experienced by users as comfortable and hardly noticeable. Conclusions. This study indicates that smart clothing can measure important physiological parameters in an unobtrusive manner. This "wear and measure" approach might change how we gather relevant clinical data in the future.

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Triple‐Asymmetric Flexible Strain Sensor Based on High‐aligned Ni Nanowire Arrays with Opposite Resistance Responding for Multidimensional Motions Detection

Huang

Xiang

et al. 2022

Adv Materials Technologies

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Herein, a triple‐asymmetric flexible strain sensor by using the single‐layered high‐aligned Ni‐nanowire arrays is proposed for the applications of monitoring multidimensional motions of human joints. The triple‐asymmetric structures consist of a spatially ordering distribution of Ni nanowires (NWs) and double position asymmetric distributions of the Ni NWs in width and thickness direction of sensor. Because Ni NWs are isolated from each other, the resistance change of the sensor is by tunneling effect. The resistance values of the proposed sensor decrease with the increasing of stretching strain, which is different from that of the common flexible strain sensors, and the maximum absolute valve of gauge factor is 35. Furthermore, the proposed sensor has a good bending sensitivity, ranging from 90° to −90°, and minimum resolution angle of 5° in out‐plane bending. Benefiting from the asymmetric structures and tunneling effect, the complex movements of human joints (such as up‐down bending, left‐right swing, and rotating of wrist) are successfully detected. The practical applicability in real‐time monitoring and the processes of handwriting are also shown. Therefore, this proposed sensor is believed to have great potential in future development of micro‐motion monitoring, wearable electronics, and artificial intelligence.

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An Attachable Clothing Sensor System for Measuring Knee Joint Angles

Cited by 59 publications

References 37 publications

Technical Issues and Challenges in Building Human Body Sensor Networks

Technical Issues and Challenges in Building Human Body Sensor Networks

The “Wear and Measure” Approach: Linking Joint Stability Measurements from a Smart Clothing System to Optical Tracking

Triple‐Asymmetric Flexible Strain Sensor Based on High‐aligned Ni Nanowire Arrays with Opposite Resistance Responding for Multidimensional Motions Detection

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