Journal articles on the topic 'Walking'

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1

Workman, J. M., and B. W. Armstrong. "Metabolic cost of walking: equation and model." Journal of Applied Physiology 61, no. 4 (October 1, 1986): 1369–74. http://dx.doi.org/10.1152/jappl.1986.61.4.1369.

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Twenty years of published experience with the Workman-Armstrong equation for predicting walking VO2 is reviewed. The equation is reexpressed in currently accepted terminology, and it is shown that the equation serves well as a basic model of normal walking. Employing this model to analyze VO2/step leads to the elaboration of a three-compartment model of the metabolic cost of walking. This three-compartment model provides a rational estimate of the fraction of walking's metabolic cost that powers the actual walking movement. Doubt is expressed that “comfortable speed of walking” is definable in energy terms. It is suggested that the requirements of maintaining balance while walking may determine both the comfortable speed of walking and the curvilinearity of the relationship between ground-speed and freely chosen step frequency of walking.
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2

Jacobs, Alissa, and Maggie Shiffrar. "Walking Perception by Walking Observers." Journal of Experimental Psychology: Human Perception and Performance 31, no. 1 (2005): 157–69. http://dx.doi.org/10.1037/0096-1523.31.1.157.

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3

Jacobs, A., and M. Shiffrar. "Walking perception by walking observers." Journal of Vision 4, no. 8 (August 1, 2004): 218. http://dx.doi.org/10.1167/4.8.218.

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4

Park, Youngjun, Sunjae Lee, and Sohyun Park. "Differences in Park Walking, Comparing the Physically Inactive and Active Groups: Data from mHealth Monitoring System in Seoul." International Journal of Environmental Research and Public Health 19, no. 1 (December 30, 2021): 395. http://dx.doi.org/10.3390/ijerph19010395.

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Despite the overall increase in physical activities and park uses, the discrepancies between physically inactive and active people have increasing widened in recent times. This paper aims to empirically measure the differences in walking activity in urban parks between the physically inactive and active. As for the dataset, 22,744 peoples’ 550,234 walking bouts were collected from the mHealth system of the Seoul government, using the smartphone healthcare app, WalkOn, from September to November 2019, in Seocho-gu district, Seoul, Korea. We classified the physically inactive and active sample groups, based on their regular walking (≥150 min of moderate-to-vigorous walking activity a week), and analyzed their park walking activities. We found that while there was no significant difference in walking measures of non-park walking between the sample groups, the difference did exist in park walking. The park walking average in the physically active group had more steps (p = 0.021), longer time (p = 0.008), and higher intensity (p < 0.001) of walking than that in the inactive group. Each park also revealed differences in its on-site park walking quantity and quality, based on which we could draw the list of ‘well-walked parks’, which held more bouts and more moderate-to-vigorous physical activities (MVPAs) than other parks in Seocho-gu district. This paper addresses how park walking of physically inactive and active people is associated with multiple differences in everyday urban walking.
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5

Sant'Anna, Clemax. "Walking." Residência Pediátrica 7, no. 3 (December 2017): 92. http://dx.doi.org/10.25060/residpediatr-2017.v7n3-01.

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6

Schwameder, Hermann, Elke Lindenhofer, and Erich Müller. "Walking." Sports Biomechanics 4, no. 2 (July 2005): 227–43. http://dx.doi.org/10.1080/14763140508522865.

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7

Dumont, Aaron, and Chris Waltham. "Walking." Physics Teacher 35, no. 6 (September 1997): 372–76. http://dx.doi.org/10.1119/1.2344725.

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8

Slovenko, Ralph. "Walking." Journal of Psychiatry & Law 32, no. 1 (March 2004): 117–36. http://dx.doi.org/10.1177/009318530403200113.

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9

Bax, Martin. "Walking." Developmental Medicine & Child Neurology 33, no. 6 (November 12, 2008): 471–72. http://dx.doi.org/10.1111/j.1469-8749.1991.tb14911.x.

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10

FRANCIS, BETTY. "WALKING." Nursing 20, no. 2 (February 1990): 69. http://dx.doi.org/10.1097/00152193-199002000-00025.

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11

Siegrist, Heidi. "Walking." Appalachian Heritage 43, no. 2 (2015): 30–43. http://dx.doi.org/10.1353/aph.2015.0068.

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12

Hu, Frank B., and JoAnn E. Manson. "Walking." Archives of Internal Medicine 163, no. 12 (June 23, 2003): 1397. http://dx.doi.org/10.1001/archinte.163.12.1397.

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13

UCHIDA, Kaoru, and Shigeki TOYAMA. "Concerning Walking Mechanism for Walking Model." Proceedings of the JSME annual meeting 2000.2 (2000): 309–10. http://dx.doi.org/10.1299/jsmemecjo.2000.2.0_309.

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14

Thomas, Alvin, and Elan C. Hope. "Walking Away Hurt, Walking Around Scared." Journal of Black Psychology 42, no. 5 (July 26, 2016): 453–76. http://dx.doi.org/10.1177/0095798415603539.

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15

Hornby, Louise. "Walking Badly." Representations 160, no. 1 (2022): 90–118. http://dx.doi.org/10.1525/rep.2022.160.4.90.

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Taking Bruce Nauman’s video installation Contrapposto Studies, I through VII (2015/2016) as its starting point, this essay explores the postural, moral, and political implications of walking’s instability, proposing that the instability of walking underwrites its condition. It builds on the feminist scholarship of Adriana Cavarero to challenge the philosophical assumptions of masculine uprightness and to reveal instead the temporal limits of human balance and the essential threat of the misstep.
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16

Balsas, Carlos J. L. "Where the rubber meets the road: Walking, riding, and driving, or walking, walking, walking for our health." Journal of Transport & Health 5 (June 2017): 182–88. http://dx.doi.org/10.1016/j.jth.2016.10.006.

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17

Bone, Robert. "Walking the Class Action Maze: Toward a More Functional Rule 23." University of Michigan Journal of Law Reform, no. 46.4 (2013): 1097. http://dx.doi.org/10.36646/mjlr.46.4.walking.

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Over roughly the past fifteen years, the Supreme Court and lower federal courts have limited access to class actions. Many of the more restrictive decisions-such as Amchem Products, Inc. v. Windsor, Ortiz v. Fibreboard Corp., and Wal- Mart Stores, Inc. v. Dukes-are based on interpretations of Rule 23 and thus fall within the power of the Advisory Committee and rulemaking process to modify. This Article proposes revisions to Rule 23 designed to deal with some of these decisions and to make the class action a more pragmatic and functional device. It focuses on two areas: (1) the constraints imposed by fairness to absentees and due process, and (2) the problem of strategic abuse associated with frivolous and weak class action filings. Responding in large part to concerns about fairness, due process, and legitimacy, the Supreme Court has adopted a vague class "cohesion" requirement (Amchem), an interpretive principle tethering the class action to outdated precedent (Ortiz), and a strong indivisibility condition for (b)(2) certification (Wal-Mart). The problem is that none of these limitations is based on a clear understanding of what fairness to absentees requires or how the individual day-in-court right can be reconciled with representative litigation. As a result, the Court's decisions are poorly reasoned and its restrictions inadequately justified. The Advisory Committee should do what it can to correct these deficiencies, and this Article suggests a promising approach. Furthermore, in response to concerns about the strategic filing of frivolous and weak class action suits, federal judges have tightened the standard of proof for certification. But they have done so without general agreement on the normative stakes, and the result is a collection of inconsistent and relatively vague standards. The Advisory Committee should clarify the law in this area by specifying a standard of proof in the text of Rule 23 This Article suggests a useful framework for doing so. Finally, the Article briefly discusses some potential obstacles to Committee action, including the advisability of overruling recent Supreme Court decisions, potential constitutional problems, Rules Enabling Act constraints, transsubstantivity objections, and the ever-present risk of political controversy.
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18

Vasquez, Elizabeth, Rosenda Murrillo, and Sandra Echeverria. "Neighborhood Social Cohesion and Walking Limitations in Ethnically Diverse Older Latinos in the United States." Ethnicity & Disease 29, no. 2 (April 18, 2019): 247–52. http://dx.doi.org/10.18865/ed.29.2.247.

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Walking is the most common form of physical activity and socially cohesive neighborhoods may provide the context for racially/ethnically diverse groups to maintain an active lifestyle, particularly at older ages. Among Latinos, the associa­tion between neighborhood cohesion and walking behaviors may additionally differ by Latino group. We examined the associa­tion between neighborhood social cohe­sion and walking limitations among Latinos overall and by specific Latino groups. We combined data from the 2013 to 2016 Na­tional Health Interview Survey (NHIS) and selected adults aged ≥60 years (n= 3,716). Walking limitations were assessed based on responses to the “experienced difficulty walking” survey question. Social cohesion was measured using four NHIS questions regarding neighborhood social cohesion. Logistic regression models were stratified by Latino subgroup. Mexican Americans repre­sented the largest proportion of the sample (55%). Cubans had the highest proportion of individuals reporting high neighborhood social cohesion (51%), while Dominicans had the lowest proportion (29%). In the total sample, those with high and medium neighborhood social cohesion reported lower odds of walking limitations. Although tests for interaction were not statistically significant, stratified analyses showed that all Latino groups had lower odds of walk­ing limitations if they lived in a high social cohesion neighborhood compared with low social cohesion neighborhoods. Our results suggest that neighborhood social cohe­sion is associated with walking limitations among diverse groups of older Latinos. Ethn Dis. 2019;29(2):247-252; doi:10.18865/ ed.29.2.247
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19

Milton, John, Adam Coleman, Coury Clemens, Annie Nguyentat, David Nichols, and Walter Cook. "Walking Stride Variability On Different Walking Surfaces." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S77. http://dx.doi.org/10.1249/01.mss.0000273208.16429.55.

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20

Day, L. L. "Perceived Exertion Water Walking vs. Treadmill Walking." Cardiopulmonary Physical Therapy Journal 4, no. 3 (1993): 15–16. http://dx.doi.org/10.1097/01823246-199304030-00017.

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21

Nagata, Yousuke, Masayoshi Yamamoto, and Shigeyuki Funabiki. "Gait Evaluation of Overground Walking and Treadmill Walking Using Compass-Type Walking Model." IEEJ Transactions on Electronics, Information and Systems 129, no. 7 (2009): 1212–19. http://dx.doi.org/10.1541/ieejeiss.129.1212.

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22

McEntee, Mindy L., Alison Cantley, Emily Foreman, Vincent Berardi, Christine B. Phillips, Jane C. Hurley, Melbourne F. Hovell, Steven Hooker, and Marc A. Adams. "Effects of Goal Type and Reinforcement Type on Self-Reported Domain-Specific Walking Among Inactive Adults: 2×2 Factorial Randomized Controlled Trial." JMIR Formative Research 4, no. 12 (December 4, 2020): e19863. http://dx.doi.org/10.2196/19863.

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Background WalkIT Arizona was a 2×2 factorial trial examining the effects of goal type (adaptive versus static) and reinforcement type (immediate versus delayed) to increase moderate to vigorous physical activity (MVPA) among insufficiently active adults. The 12-month intervention combined mobile health (mHealth) technology with behavioral strategies to test scalable population-health approaches to increasing MVPA. Self-reported physical activity provided domain-specific information to help contextualize the intervention effects. Objective The aim of this study was to report on the secondary outcomes of self-reported walking for transportation and leisure over the course of the 12-month WalkIT intervention. Methods A total of 512 participants aged 19 to 60 years (n=330 [64.5%] women; n=425 [83%] Caucasian/white, n=96 [18.8%] Hispanic/Latinx) were randomized into interventions based on type of goals and reinforcements. The International Physical Activity Questionnaire-long form assessed walking for transportation and leisure at baseline, and at 6 months and 12 months of the intervention. Negative binomial hurdle models were used to examine the effects of goal and reinforcement type on (1) odds of reporting any (versus no) walking/week and (2) total reported minutes of walking/week, adjusted for neighborhood walkability and socioeconomic status. Separate analyses were conducted for transportation and leisure walking, using complete cases and multiple imputation. Results All intervention groups reported increased walking at 12 months relative to baseline. Effects of the intervention differed by domain: a significant three-way goal by reinforcement by time interaction was observed for total minutes of leisure walking/week, whereas time was the only significant factor that contributed to transportation walking. A sensitivity analysis indicated minimal differences between complete case analysis and multiple imputation. Conclusions This study is the first to report differential effects of adaptive versus static goals for self-reported walking by domain. Results support the premise that individual-level PA interventions are domain- and context-specific and may be helpful in guiding further intervention refinement. Trial Registration Preregistered at clinicaltrials.gov: (NCT02717663) https://clinicaltrials.gov/ct2/show/NCT02717663 International Registered Report Identifier (IRRID) RR2-10.1016/j.cct.2019.05.001
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23

Kiguchi, Kazuo, Qiang Qu, and Etsuo Horikawa. "2P1-E01 Walking Pattern Modification According to Walking Velocity for a Lower-limb Exoskeleton Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _2P1—E01_1—_2P1—E01_2. http://dx.doi.org/10.1299/jsmermd.2008._2p1-e01_1.

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24

Hertzler, Terry. "Walking Point." Iowa Review 45, no. 1 (March 2015): 165. http://dx.doi.org/10.17077/0021-065x.7606.

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25

Kastelein, Ienke. "Walking Time." APRIA Journal 3, no. 2 (March 4, 2021): 22–34. http://dx.doi.org/10.37198/apria.03.02.a3.

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Walking Time is a hybrid attempt to go for walk while reading. It is a description of an actual walk as well as a prompt. It is a visual approach to a text containing memories evoked by walking and an invitation to the sensorial presence of the reader.
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26

Griffin, Wendy. "Walking Widdershins." Pomegranate: The International Journal of Pagan Studies 17, no. 1-2 (July 14, 2015): 86–98. http://dx.doi.org/10.1558/pome.v17i1-2.27635.

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27

Habermeyer, Ryan. "Skin Walking." Massachusetts Review 63, no. 2 (June 2022): 317–27. http://dx.doi.org/10.1353/mar.2022.0045.

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28

Barnes, Brian. "Walking Prescription." ACSM'S Health & Fitness Journal 26, no. 4 (July 2022): 47–52. http://dx.doi.org/10.1249/fit.0000000000000776.

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29

McFarland, Kay F. "Walking Shoes." Annals of Internal Medicine 119, no. 5 (September 1, 1993): 423. http://dx.doi.org/10.7326/0003-4819-119-5-199309010-00012.

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30

Lapshin, V. V. "Walking Wheel." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 6 (93) (December 2020): 23–35. http://dx.doi.org/10.18698/1812-3368-2020-6-23-35.

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A hypothesis was proposed that during the bipedal walking, there appear stable periodic movements in certain variables (self-oscillations). In this case, it is possible to easily change parameters of this periodic locomotion using open (without feedback) control loops with respect to some of the variables. As the first stage in testing this hypothesis, dynamics of the walking wheel downward movement along an inclined plane was analytically studied. Walking wheel is the simplest model of passive bipedal walking. When it moves, energy is supplied to the system due to the force of gravity action. It is shown that point mapping of the wheel angular speed alteration per step (Poincare map) in the overwhelming majority of cases has one fixed point. This fixed point corresponds either to stable periodic solution (self-oscillation), which is the wheel rolling down an inclined plane, or to the wheel movement ending with its termination as a result of the endless series of impacts with swinging on two legs. In the degenerate case, the Poincare map has two fixed points. One of them corresponds to the unstable limiting cycle matching the wheel rolling, and the second corresponds to a wheel stop. In this case, the limiting cycle is stable outside and unstable inside itself
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31

Hallstrom, Angela. "Field Walking." Dialogue: A Journal of Mormon Thought 45, no. 2 (July 1, 2012): 125–47. http://dx.doi.org/10.5406/dialjmormthou.45.2.0125.

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32

Guerrero, Javier. "Walking Around." Review: Literature and Arts of the Americas 54, no. 2 (July 3, 2021): 163–71. http://dx.doi.org/10.1080/08905762.2021.1990529.

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33

SUZUKI, Madoka, Kotaro OYAMA, and Shin’ichi ISHIWATA. "Walking Nanothermometer." Seibutsu Butsuri 53, no. 3 (2013): 158–59. http://dx.doi.org/10.2142/biophys.53.158.

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34

Ellingsen, Gunnar. "Tightrope Walking." International Journal of IT Standards and Standardization Research 2, no. 1 (January 2004): 1–22. http://dx.doi.org/10.4018/jitsr.2004010101.

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35

Howells, Angela. "Walking wounded." Nursing Standard 17, no. 18 (January 15, 2002): 24. http://dx.doi.org/10.7748/ns.17.18.24.s41.

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36

Diane Glancy. "Walking Precariously." Studies in American Indian Literatures 27, no. 4 (2015): 101. http://dx.doi.org/10.5250/studamerindilite.27.4.0101.

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37

Obradović, Nadežda, and Charles Mungoshi. "Walking Still." World Literature Today 72, no. 2 (1998): 446. http://dx.doi.org/10.2307/40153963.

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38

Bayoumi, Ealah. "WALKING VEHICLES." International Conference on Applied Mechanics and Mechanical Engineering 1, no. 1 (May 1, 1986): 75–85. http://dx.doi.org/10.21608/amme.1986.51775.

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39

Illarregi, Erika Renedo. "Walking Heterotopias." Design Journal 22, sup1 (April 1, 2019): 2307–12. http://dx.doi.org/10.1080/14606925.2019.1595041.

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40

Vice, Sue. "Shadows Walking." European Legacy 18, no. 5 (August 2013): 678–80. http://dx.doi.org/10.1080/10848770.2013.804740.

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41

Collie, A. A. "Walking machines." Electronics and Power 32, no. 1 (1986): 75. http://dx.doi.org/10.1049/ep.1986.0036.

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42

Thompson, Dixie L. "Walking Works." Southern Medical Journal 101, no. 2 (February 2008): 114–15. http://dx.doi.org/10.1097/smj.0b013e3181583a09.

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43

Lapshin, V. V. "Walking wheel." Journal of Physics: Conference Series 1705 (December 2020): 012028. http://dx.doi.org/10.1088/1742-6596/1705/1/012028.

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44

Hu, David L., Brian Chan, and John W. M. Bush. "Water‐Walking." Physics of Fluids 15, no. 9 (September 2003): S10. http://dx.doi.org/10.1063/1.4739214.

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45

Mulley, G. "Walking frames." BMJ 300, no. 6729 (April 7, 1990): 925–27. http://dx.doi.org/10.1136/bmj.300.6729.925.

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46

Lines, Nadia. "Walking Home." Keats-Shelley Review 34, no. 1 (January 2, 2020): 72. http://dx.doi.org/10.1080/09524142.2020.1761130.

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47

Gilbert, Margaret. "Walking Together." Midwest Studies in Philosophy 15 (1990): 1–14. http://dx.doi.org/10.1111/j.1475-4975.1990.tb00202.x.

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48

Jung, Yuha. "Mindful Walking." Qualitative Inquiry 20, no. 5 (October 29, 2013): 621–27. http://dx.doi.org/10.1177/1077800413505543.

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49

Pereira, Edimilson de Almeida, and Steven F. White. "Walking Around." Callaloo 24, no. 4 (2001): 1152. http://dx.doi.org/10.1353/cal.2001.0300.

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50

FUJIE, Masakatsu. "Walking Assist." Journal of the Society of Mechanical Engineers 109, no. 1051 (2006): 458–59. http://dx.doi.org/10.1299/jsmemag.109.1051_458.

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