Lumbar posture assessment with fabric strain sensors

Vu, Linh; Kim, K. Han; Schulze, Lawrence J. H.; Rajulu, Sudhakar

doi:10.1016/j.compbiomed.2020.103624

Cited by 13 publications

(14 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are obtained from an elastomeric insulating layer (e.g., made of a silicone rubber) sandwiched between two layers of a deformable electrode material (e.g., a carbon black-loaded silicone rubber), so as to assemble a stretchable capacitor. By arranging a set of these sensors such that they are stretched by specific postures and movements, following a calibration it is possible to relate occurring variations of capacitance to thee motions of body segments, as shown by several studies [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, some of us presented a low-cost wearable concept to monitor movements of the trunk, using elastomeric capacitive sensors in combination with modified shoulder straps [ 29 ]. The latter were intended to make the system easily wearable onto or under common clothes, so as to avoid less practical/stable, uncomfortable or more expensive solutions, such as sticking the sensors onto the skin [ 22 , 23 , 24 , 25 , 27 ] or creating dedicated elastic garments that integrate printed sensors [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

“…The implementation of a calibration strategy that avoids the limitations of typical approaches reported in the literature, such as measuring the angles with bulky, unpractical, and/or expensive external equipment (e.g., stereophotogrammetry [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ]), or using interpolations of data captured from reference poses (which enables pose recognitions but does not provide accurate measurements of angles [ 26 , 27 , 28 ]).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors

Frediani

Bocchi

Vannetti

et al. 2021

Sensors

View full text Add to dashboard Cite

Continuous monitoring of flexions of the trunk via wearable sensors could help various types of workers to reduce risks associated with incorrect postures and movements. Stretchable piezo-capacitive elastomeric sensors based on dielectric elastomers have recently been described as a wearable, lightweight and cost-effective technology to monitor human kinematics. Their stretching causes an increase of capacitance, which can be related to angular movements. Here, we describe a wearable wireless system to detect flexions of the trunk, based on such sensors. In particular, we present: (i) a comparison of different calibration strategies for the capacitive sensors, using either an accelerometer or a gyroscope as an inclinometer; (ii) a comparison of the capacitive sensors’ performance with those of the accelerometer and gyroscope; to that aim, the three types of sensors were evaluated relative to stereophotogrammetry. Compared to the gyroscope, the capacitive sensors showed a higher accuracy. Compared to the accelerometer, their performance was lower when used as quasi-static inclinometers but also higher in case of highly dynamic accelerations. This makes the capacitive sensors attractive as a complementary, rather than alternative, technology to inertial sensors.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors

Frediani

Bocchi

Vannetti

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The strain sensors yield a capacitance measurement that increases with the sensor elongation. Previous studies have concentrated on predicting lumbar joint angles from fabric strain sensors that were adhered to the back (Vu et al, 2019(Vu et al, , 2020. In these studies, lumbar joint angles were calculated from the relative rotation of local reference frames (derived from anatomical landmark positions) that were attached to the thoracic cavity and the pelvis.…”

Section: Introductionmentioning

confidence: 99%

“…For example, when a person bends forward with the sensors, the sensors placed vertically along the lumbar spine may show the largest signal increase. The observation of signal patterns during different postures was explored in greater detail in Vu et al (2020). Thus, these characteristic signal patterns are advantageous and can be useful for producing a model capable of predicting lumbar shape.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Lumbar Shape Deformation With Fabric Strain Sensors

Kim

Schulze

et al. 2020

Hum Factors

Self Cite

View full text Add to dashboard Cite

Objective To better study human motion inside the space suit and suit-related contact, a multifactor statistical model was developed to predict torso body shape changes and lumbar motion during suited movement by using fabric strain sensors that are placed on the body. Background Physical interactions within pressurized space suits can pose an injury risk for astronauts during extravehicular activity (EVA). In particular, poor suit fit can result in an injury due to reduced performance capabilities and excessive body contact within the suit during movement. A wearable solution is needed to measure body motion inside the space suit. Methods An array of flexible strain sensors was attached to the body of 12 male study participants. The participants performed specific static lumbar postures while 3D body scans and sensor measurements were collected. A model was created to predict the body shape as a function of sensor signal and the accuracy was evaluated using holdout cross-validation. Results Predictions from the torso shape model had an average root mean square error (RMSE) of 2.02 cm. Subtle soft tissue deformations such as skin folding and bulges were accurately replicated in the shape prediction. Differences in posture type did not affect the prediction error. Conclusion This method provides a useful tool for suited testing and the information gained will drive the development of injury countermeasures and improve suit fit assessments. Application In addition to space suit design applications, this technique can provide a lightweight and wearable system to perform ergonomic evaluations in field assessments.

show abstract

Designing a Strain Textile Sensing System for Shoulder Compensation Monitoring of Stroke Patients

Wang,

Fang,

et al. 2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

Lumbar posture assessment with fabric strain sensors

Cited by 13 publications

References 21 publications

Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors

Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors

Evaluating Lumbar Shape Deformation With Fabric Strain Sensors

Designing a Strain Textile Sensing System for Shoulder Compensation Monitoring of Stroke Patients

Contact Info

Product

Resources

About