A New Application of Smart Walker for Quantitative Analysis of Human Walking

Wang, Ting; Dune, Claire; Merlet, Jean‐Pierre; Gorce, Philippe; Sacco, Guillaume; Robert, Philippe; Turpin, Jean-Michel; Teboul, Bernard; Marteu, Audrey; Guérin, Olivier

doi:10.1007/978-3-319-16199-0_33

Cited by 4 publications

(6 citation statements)

References 42 publications

(59 reference statements)

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“…One paper, due to its age, used strips of inked moleskin on a paper walkway [25] to determine spatio-temporal parameters. Two studies used tri-axial accelerometers (SMI, MP6000, InvenSense), either placed on the lower back at level L4 [26] or on the trunk and foot [30], another study used different accelerometers (Locomotion Evaluation and Gait System, LEGSys™, BioSensics, Cambridge, MA) placed on the lower limbs [22], whole inertial sensors (OPAL IMUs, APDM, Portland, USA), fixed with a belt or elastic straps at the lower back (L4–5) and frontal to the left and right ankle joints [6] or inertial sensors placed on the rollator used [17]. In one study, the rollator was instrumented with four single axis load cells (Futek LCM300, FUTEK Advanced Sensor Technology Inc., Irvine, California) and corresponding transmitters (Mantracourt T24-ACMi, Mantracourt Electronics Ltd., Exeter, UK).…”

Section: Resultsmentioning

confidence: 99%

“…There were different studies of one research group analysing the use of a rollator during different tasks of daily living [5–7] and an additional one analysing not only straight walking but also turning [17].…”

Section: Resultsmentioning

confidence: 99%

“…Wang et al analysed straight walking as well as turns of 90° and 180° using an instrumented walker in younger and older adults [17]. They did not find any difference in gait velocity, step period, step length and gait variability between the two groups during straight walking.…”

Section: Resultsmentioning

confidence: 99%

“…The analysis of activities of daily living highlighted the necessity of training these activities with the rollator user in detail to avoid difficulties and an increased risk of falls [5–7, 17]. Tung et al [19] analysed three neurological intensive rehabilitation in-patients who used rollators to address balance impairments, during a laboratory and ambulation assessment.…”

Section: Discussionmentioning

confidence: 99%

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Walking with rollator: a systematic review of gait parameters in older persons

Mundt

Batista

Markert

et al. 2019

Eur Rev Aging Phys Act

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Background The aging population increasingly needs assistive technologies, such as rollators, to function and live less dependently. Rollators are designed to decrease the risk of falls by improving the gait mechanics of their users. However, data on the biomechanics of rollator assisted gait of older adults are limited, or mostly derived from experiments with younger adults. Methods and results This review summarises the data from 18 independent studies on the kinematic and kinetic gait parameters of assisted gait of older persons. All of these studies evaluated spatio-temporal parameters, but not joint angles or moments. Conclusion Due to the limited research on rollator supported gait in older adults, the number of parameters that could be analysed in this systematic review was restricted. Further research in the analysis of spatio-temporal parameters and a higher standardisation in clinical research will be necessary.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Walking with rollator: a systematic review of gait parameters in older persons

Mundt

Batista

Markert

et al. 2019

Eur Rev Aging Phys Act

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show abstract

“…[ 6 ]. In general terms, recent studies refer to the motion capture systems and force platforms as the gold standard for biomechanical analysis purposes [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Physical Interaction during Walker-Assisted Gait with the AGoRA Walker: Strategies Based on Virtual Mechanical Stiffness

Múnera

Provot

et al. 2021

Sensors

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Smart walkers are commonly used as potential gait assistance devices, to provide physical and cognitive assistance within rehabilitation and clinical scenarios. To understand such rehabilitation processes, several biomechanical studies have been conducted to assess human gait with passive and active walkers. Several sessions were conducted with 11 healthy volunteers to assess three interaction strategies based on passive, low and high mechanical stiffness values on the AGoRA Smart Walker. The trials were carried out in a motion analysis laboratory. Kinematic data were also collected from the smart walker sensory interface. The interaction force between users and the device was recorded. The force required under passive and low stiffness modes was 56.66% and 67.48% smaller than the high stiffness mode, respectively. An increase of 17.03% for the hip range of motion, as well as the highest trunk’s inclination, were obtained under the resistive mode, suggesting a compensating motion to exert a higher impulse force on the device. Kinematic and physical interaction data suggested that the high stiffness mode significantly affected the users’ gait pattern. Results suggested that users compensated their kinematics, tilting their trunk and lower limbs to exert higher impulse forces on the device.

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Development of an automatic classification system of Timed Up and Go test with IoRT walker

Ogawa

YAMADA

Aoyama

et al. 2022

Transactions of the JSME (In Japanese)

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In Japan, which is an aging society, the number of people with reduced walking ability is expected to increase. Maintaining and improving walking ability is an issue in the rehabilitation field. Therefore, early detection of the risk of falls in the elderly is an important issue. TUG (Timed Up and Go test) is used as one of the evaluation methods for fall risk in many situations. It is thought that TUG can be divided for each movement, measured and analyzed in detail, and indicators for fall risk assessment and walking independence judgment can be defined. However, if it takes time and effort to install a large device or measuring instrument for TUG, the advantage of TUG that it can be easily carried out decreases.By using the IoRT (Internet of Robotic Things) walker developed as gait training device, it is possible to easily and automatically measure the gait of the TUG without any special operation or equipment. In this paper, we propose an automatic classification method for gait sections in TUG test using IoRT walker. The proposed method can detect the walking state using motion information obtained from the walker, and can automatically classify the gait section in the TUG test into "Sit to stand, Walk 1, Turn Around, Walk 2, Turn and Stand to sit" sections. The effectiveness of the proposed method was confirmed by the TUG Test, which was conducted on various pseudo-impaired gaits.

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A New Application of Smart Walker for Quantitative Analysis of Human Walking

Cited by 4 publications

References 42 publications

Walking with rollator: a systematic review of gait parameters in older persons

Walking with rollator: a systematic review of gait parameters in older persons

Evaluation of Physical Interaction during Walker-Assisted Gait with the AGoRA Walker: Strategies Based on Virtual Mechanical Stiffness

Development of an automatic classification system of Timed Up and Go test with IoRT walker

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