Relevant bibliographies by topics / Walking Walking Pedometers

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  1. Journal articles
  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Walking Walking Pedometers'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Walking Walking Pedometers"

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Pitchford, E. Andrew, and Joonkoo Yun. "The Accuracy of Pedometers for Adults With Down Syndrome." Adapted Physical Activity Quarterly 27, no. 4 (October 2010): 321–36. http://dx.doi.org/10.1123/apaq.27.4.321.

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The purpose of this study was to examine the accuracy of spring-levered and piezoelectric pedometers for adults with and without Down syndrome (DS). Twenty adults with DS and 24 adults without a disability walked for two minute periods on a predetermined indoor course at a self-selected, slower and faster pace. Pedometer recorded and criterion observed steps were compared to determine pedometer error. There was a significant interaction between pedometer model and walking speed. Piezoelectric pedometers demonstrated significantly less measurement error than spring-levered pedometers, particularly at slower walking speeds. There were also significant differences in pedometer error between adults with and without DS. The study concludes that pedometer measurement error is significantly different for adults with DS but also that piezoelectric pedometers can be used in the future to measure walking activity for adults with and without DS.
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Zoellner, Jamie, Alicia Powers, Amanda Avis-Williams, Murugi Ndirangu, Earline Strickland, and Kathy Yadrick. "Compliance and Acceptability of Maintaining a 6-Month Pedometer Diary in a Rural, African American Community-Based Walking Intervention." Journal of Physical Activity and Health 6, no. 4 (July 2009): 475–82. http://dx.doi.org/10.1123/jpah.6.4.475.

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Background:Limited research has been done on the compliance and acceptability of maintaining pedometer diaries for an extensive time frame in community-based interventions targeting minority populations.Methods:Community “coaches” led participants in a 6-month community-based walking intervention that included wearing pedometers and maintaining pedometer diaries for the study duration. Descriptive statistics and ANOVA tests were used to evaluate compliance rates for maintaining diaries and daily step counts. After the intervention, focus groups were used to explore opinions regarding pedometers. Audiotapes were transcribed and evaluated using systematic content analysis.Results:The 8 coaches and 75 enrolled walking participants were primarily African American (98%) women (94%). Overall, the group (N = 83) submitted 85% of all possible pedometer diaries and recorded 73% of all possible daily step counts. Walking-group members were significantly (P < .01) more compliant if their coach was also compliant. Identified benefits of wearing pedometers and maintaining diaries outnumbered the barriers. Participants were enthusiastic about wearing the pedometers and indicated that the weekly diaries provided a source of motivation.Conclusions:This research suggests pedometer diaries are a viable intervention tool and research method for community-based physical activity interventions targeting African Americans and highlights the need for social support to promote pedometer diary compliance.
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Stanish, Heidi I. "Accuracy of Pedometers and Walking Activity in Adults with Mental Retardation." Adapted Physical Activity Quarterly 21, no. 2 (April 2004): 167–79. http://dx.doi.org/10.1123/apaq.21.2.167.

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Walking is a common physical activity reported by individuals with mental retardation (MR). This study examined the accuracy and feasibility of pedometers for monitoring walking in 20 adults with MR. Also, step counts and distance walked were recorded for one week. Pedometer counts were highly consistent with actual step counts during normal and fast paced walking on two ground surfaces. Intraclass correlation coefficients were above .95. A t-test revealed no gender differences in walking activity. A 2 × 2 ANOVA indicated that participants with Down Syndrome (DS) accumulated significantly fewer step counts than those without DS and participants walked more on weekdays than weekends.
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Pitchford, E. Andrew, and Joonkoo Yun. "Pedometer Variance in Adults With Down Syndrome During Free Walking: A Generalizability Study." Journal of Physical Activity and Health 8, no. 8 (November 2011): 1143–51. http://dx.doi.org/10.1123/jpah.8.8.1143.

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Background:Pedometers are a common instrument used to measure walking activity, yet reliability evidence in disability populations, particularly Down syndrome (DS), has received little attention. There may be systematic and random sources of error that could influence reliability under natural walking conditions. The purpose of this study was to examine the sources of variance and estimate reliability coefficients of spring-levered (SL) and piezoelectric (PZ) pedometers for adults with DS during a free-walking bout.Methods:Seventeen adults with DS and 23 adults without a disability walked continuously for a 20-minute period wearing 2 types of pedometers, SL and PZ. Step counts were analyzed using Generalizability theory to partition and quantify variance components and calculate reliability coefficients.Results:The largest variance component was due to individual participant differences. Adults with DS demonstrated greater intraindividual variability, but also had relatively low proportions of residual variance, or unexplained error. The SL pedometer showed problems with interunit variance while the PZ pedometer demonstrated little systematic error. Reliability coefficients were consistently higher for the PZ pedometer.Conclusions:This study found minimal systematic error and moderate reliability evidence for the PZ pedometer. This type of pedometer may be used in future research for adults with DS.
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Sheu, Jia-Shing, Wei-Cian Jheng, and Chih-Hung Hsiao. "Implementation of a Three-Dimensional Pedometer Automatic Accumulating Walking or Jogging Motions in Arbitrary Placement." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/372814.

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This study proposes a method for using a three-axis accelerometer and a single-chip microcontrol unit to implement a three-dimensional (3D) pedometer that can automatically identify walking and running motions. The proposed design can calculate the number of walking and running steps down to small numbers of steps and can be easily worn, thus remedying defects of generic mechanical and 3D pedometers. The user’s motion state is calculated using a walk/run mode switching algorithm.
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Rosenberg, Dori E., Jacqueline Kerr, James F. Sallis, Gregory J. Norman, Karen Calfas, and Kevin Patrick. "Promoting Walking Among Older Adults Living in Retirement Communities." Journal of Aging and Physical Activity 20, no. 3 (July 2012): 379–94. http://dx.doi.org/10.1123/japa.20.3.379.

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The authors tested the feasibility and acceptability, and explored the outcomes, of 2 walking interventions based on ecological models among older adults living in retirement communities. An enhanced intervention (EI) was compared with a standard walking intervention (SI) among residents in 4 retirement facilities (N= 87 at baseline; mean age = 84.1 yr). All participants received a walking intervention including pedometers, printed materials, and biweekly group sessions. EI participants also received phone counseling and environmental-awareness components. Measures included pedometer step counts, activities of daily living, environment-related variables, physical function, depression, cognitive function, satisfaction, and adherence. Results indicated improvements among the total sample for step counts, neighborhood barriers, cognitive function, and satisfaction with walking opportunities. Satisfaction and adherence were high. Both walking interventions were feasible to implement among facility-dwelling older adults. Future studies can build on this multilevel approach.
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Colley, Rachel C., Joel D. Barnes, Allana G. Leblanc, Michael Borghese, Charles Boyer, and Mark S. Tremblay. "Validity of the SC-StepMX pedometer during treadmill walking and running." Applied Physiology, Nutrition, and Metabolism 38, no. 5 (May 2013): 520–24. http://dx.doi.org/10.1139/apnm-2012-0321.

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The purpose of this study was to examine the validity of the SC-StepMX pedometer for measuring step counts. A convenience sample of 40 participants wore 4 SC-StepMX pedometers, 2 Yamax DigiWalker pedometers, and 2 Actical accelerometers around their waist on a treadmill at 4 speeds based on each participant's self-paced walking speed (50%, 100%, 180%, and 250%; range: 1.4–14.1 km·h–1). The SC-StepMX demonstrated lower mean absolute percent error (–0.2%) compared with the Yamax DigiWalker (–20.5%) and the Actical (–26.1%). Mean measurement bias was lower for the SC-StepMX (0.1 ± 9.1; 95% confidence interval = –17.8 to 18.0 steps·min–1) when compared with both the Yamax DigiWalker (–15.9 ± 23.3; 95% confidence interval = –61.6 to 29.7 steps·min–1) and the Actical (–22.0 ± 36.3; 95% CI = –93.1 to 49.1 steps·min–1). This study demonstrates that the SC-StepMX pedometer is a valid tool for the measurement of step counts. The SC-StepMX accurately measures step counts at slower walking speeds when compared with 2 other commercially available activity monitors. This makes the SC-StepMX useful in measuring step counts in populations that are active at lower intensities (e.g., sedentary individuals, the elderly).
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Atkins, Amy, John Cannell, and Christopher Barr. "Pedometers alone do not increase mobility in inpatient rehabilitation: a randomized controlled trial." Clinical Rehabilitation 33, no. 8 (April 8, 2019): 1382–90. http://dx.doi.org/10.1177/0269215519838312.

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Objective: To test if pedometers, as a motivational tool, could affect mobility outcomes in inpatient rehabilitation. Design: Randomized controlled clinical trial. Setting: Subacute hospital rehabilitation unit in Australia. Participants: A total of 78 participants with reduced mobility and clinician-determined capacity to improve. Interventions: Both groups received usual care. For the intervention group, a pedometer was worn on the hip with the step count visible to participant and recorded daily on an exercise log. For the control group, a pedometer fixed shut was worn on the hip and they recorded estimated distances walked on an exercise log. Main measures: Primary outcome was functional mobility – De Morton Mobility Index. Secondary outcome measures were walking velocity, functional independence measure, time spent upright and daily step count. Results: Significant improvements over time ( P < 0.001) in functional mobility, comfortable walking velocity and functional independence measure were not influenced by the intervention. The daily average upright time (hours) in the first week of intervention was different ( P = 0.004) between the intervention group (median, interquartile range (IQR): 1.67, 1.77) compared to the control group (median, IQR: 1.12, 0.82). Conclusion: Pedometers as a motivational tool without targets do not improve functional mobility in this population. Pedometers may improve daily upright time in this setting.
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Patel, Asmita, Gregory Kolt, Grant Schofield, and Justin Keogh. "General practitioners’ views on the role of pedometers in health promotion." Journal of Primary Health Care 6, no. 2 (2014): 152. http://dx.doi.org/10.1071/hc14152.

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INTRODUCTION: Regular pedometer use can help initiate and maintain regular walking activity that can lead to a number of health-related benefits. The primary health care setting has been found to be an ideal venue in which to counsel low-active individuals for physical activity. AIM: To examine general practitioners’ (GPs) views on the role of pedometers in health promotion. METHODS: Fifteen GPs working in urban, primary care practices in Auckland, New Zealand were individually interviewed. The interview schedule focused on physical activity counselling and the Green Prescription programme. For this sub-study, the focus was on questions relating to pedometer use. An inductive thematic approach was used to analyse the data. FINDINGS: Four main themes were identified. Pedometers were viewed as motivational devices that could be used to encourage low-active patients to become more active, as they provided feedback on step counts. A pedometer was also viewed as a self-management tool, whereby the individual could set daily step count goals, which in turn could help increase their physical activity engagement. GPs who currently wore a pedometer discussed the practicalities of being able to show a patient how to use a pedometer. Also discussed was how cost could restrict pedometer access for some patients. CONCLUSIONS: Pedometers were viewed by GPs as being helpful devices that could help motivate and support low-active patients in becoming more active. Information regarding step counts was seen as important because it could make people aware how little physical activity they were engaging in. KEYWORDS: General practitioners; health promotion; sedentary lifestyle; walking
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Osawa, So, Hisaaki Tabuchi, Kenichi Nemoto, Shuhei Tokimasa, Shotaro Misaki, Masao Okuhara, and Koji Terasawa. "Comparison of Accuracy Among Pedometers from Five Japanese Manufacturers." Open Sports Sciences Journal 6, no. 1 (October 31, 2013): 56–61. http://dx.doi.org/10.2174/1875399x01306010056.

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The reliability of commercially available pedometers is not known in detail. Therefore, the present study examines the accuracy and reliability of the FS500 (Acos), HJ301 (Omron), EX700 (Yamax), FB727 (Tanita) and TW600 (Citizen) pedometers to count steps and measure energy expenditure at various walking speeds. Twenty individuals (age, 32.5 ± 15.3 years; body mass index, 22.0 ± 1.6 kg/m2) walked at three speeds for 6 min. Step-counts and energy expenditure determined by each pedometer were compared with actual values. All five pedometers accurately measured steps at all speeds, but tended to underestimate expended calories to within 50% of the actual amount of energy expenditure. The correlation coefficients (R) between actual energy expenditure and pedometer values were between 0.74 and 0.87. Thus, feedback about energy expenditure is somewhat inaccurate. In contrast, step counts are very accurate, and thus pedometers are useful tools with which to indicate daily exercise levels.
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Dissertations / Theses on the topic "Walking Walking Pedometers"

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Dock, Melissa. "Influence of pedometer tilt angle on step counting validity during controlled treadmill walking trials." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/dock/DockM0508.pdf.

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Pedometers are tools frequently used to monitor walking-related physical activity patterns of overweight and obese populations. However, there is a known association between increasing body mass index (BMI) and decreasing pedometer accuracy. The decrease in pedometer accuracy has been attributed to tilt angle, but the specific tilt angle where pedometers fail to maintain accuracy is unclear. PURPOSE: The purpose of this study was to test two popular pedometer mechanisms, accelerometry- and pendulum-based, to determine the specific tilt angle where the pedometers fail to maintain step counts accurately. METHODS: Twenty subjects (10 men, Mean±SD: 25.4±4.2 yrs, 184.4±5.3 cm, 76.7±6.3 kg; 10 women: 21.6±3 yrs, 166.1±6.3 cm, 56.7±6.7 kg) walked two sets of 21 trials at a combination of treadmill speed (67.0, 80.4, 93.8 m/min) and tilt angle (-30,-20,-10, 0,+10,+20,+30°) while wearing two pedometers; the experimental pedometer attached to a custom-built pedometer gimbal for altering tilt angle, and the control pedometer in a neutral position (±2° of 0°). The pedometers were worn on each hip just anterior to the iliac crest in line with the mid-axillary line of the thigh. The first set of trials tested one pedometer mechanism, while the second set of trials tested the second pedometer mechanism in a counterbalanced order. Mean steps from the experimental pedometer were compared to the control pedometer for each trial (ΔStep=Experimental-Control) using a 3-factor RMANOVA at an alpha level of 0.05. RESULTS: Mean Δsteps for the accelerometry-based pedometer and the pendulum-based pedometer differed significantly (P<0.05) at tilt angles >±10° for treadmill speeds 0° (-30, -20, -10, +10, +20, +30°, respectively). CONCLUSIONS: Increasing tilt angle caused a decrease in pedometer accuracy for both pedometer mechanisms, although the accelerometry-based pedometers were less affected. Negative tilt angles had less effect on pedometer accuracy than positive tilt angles, and the combination of increasing positive tilt angle and slower speeds had the greatest impact on step count accuracy.
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Rejc, James M. "Increasing physical activity in insufficiently active individuals through goal setting and pedometer assessment." Virtual Press, 2007. http://liblink.bsu.edu/uhtbin/catkey/1372053.

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Lack of physical activity in America is a major issue contributing to an increase in the prevalence of overweight and obese individuals. Goal setting and pedometers can be used to increase physical activity in inactive individuals. The primary purpose of the study was to investigate if inactive individuals can increase their physical activity by 2,000steps/day for 12 weeks with the use of pedometers and goal setting and examine if these motivational tools can help inactive individuals adhere to a long term increase in physical activity. Secondary purposes were to assess any changes in body composition, and blood pressure upon completion of the physical activity intervention and at follow-up and to investigate changes in self efficacy scores throughout the study.Pedometer measured physical activity (steps) was assessed at baseline, weekly during the 12 week physical activity intervention, and at the 24 week follow up. For the 12 week intervention, participants were asked to increase their physical activity by 2,000 steps/day from their baseline physical activity assessment. At each time frame, body composition,blood pressure and self —efficacy measurements were obtained.Thirty eight subjects (10 men, 28 women) started the study with 19 subjects (5 men, 14 women) completing the 12 week physical activity intervention. Fifty percent of participants completed (i.e., were compliant) the present study. However, only 6 individuals were capable of attaining their step goal for 75% of the 12 week (i.e., 9 of 12 weeks) physical activity intervention. Mean steps/day significantly increased from baseline to 12 weeks in individuals participating in the study. Following the physical activity intervention to the 24 week follow-up, mean steps/day significantly decreased. Significant improvements were found in weight, body mass index (BMI), body fat percentage, and waist circumference from baseline to 12 weeks. A significant decrease was found from baseline to 24 weeks in the resisting relapse questions (i.e., questions 1-5) on the exercise self efficacy questionnaire.In conclusion, these results demonstrated that the majority of individuals in the present study were not capable of increasing their physical activity by 2,000 steps/day through the use of goal setting with a pedometer. Individuals who do increase their physical activity experience improvements in body composition measurements. Therefore, more motivational tools should be investigated to increase physical activity.
School of Physical Education, Sport, and Exercise Science
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Baker, Graham. "Are pedometers effective motivational tools to increase walking in inactive adults." Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488800.

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Shomaker, Kayla E. "The effect of pedometers on motivation and steps in fitness walking classes." Virtual Press, 2003. http://liblink.bsu.edu/uhtbin/catkey/1265091.

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Brown, Ernest Leroy. "Reliability and Validity of Pedometers in a Free-living Environment." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/4870.

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In the field of exercise science there exists no single best method, or tool, for the measurement of physical activity, in particular, activity in everyday free-living conditions. The pedometer, a tool for recording the number of steps taken by an individual, could potentially measure this important component of free-living physical activity. To establish the reliability and validity of the pedometer, 40 subjects wore two pedometers (same brand) in two consecutive I 0-minute trials during normal daily activity. Both trials were videotaped. Each videotape segment was replayed, the number of steps were counted and this count served as the criterion measure of steps. In order to evaluate the reliability of the criterion measure the researcher recounted ten of the forty trials a second time and performed an intraclass reliability estimate and follow-up ANOVA comparing the two separate counts. This yielded an intra-observer reliability estimate of R=0.99 (F=l .36, p=.27). Data analyses included trial-to-trial comparisons of pedometer recordings, left-toright comparisons of pedometer recordings, and comparisons of pedometer recordings to the established criterion scores. Results of trial-to-trial comparisons yielded intraclass reliability estimates of R=0.87 (F=l .51, p=.23) for the left side pedometer and R=0.90 (F=.97, p=.33) for the right side pedometer; no significant differences were found. Estimates of pedometer consistency (left versus right pedometer) yielded a correlation ofR=0.96, with follow-up ANOVA (F=6.46 and p=.02) indicating significant differences between left and right side pedometers. Comparisons of pedometers to the established criterion scores (validity) yielded correlations ofR=0.84 (F=l .85, p=.18) for the left pedometer and R=O. 79 (F=S. 71, p=.02) for the right pedometer. Follow-up ANOVA indicated a significant difference between pedometer and criterion scores for the right pedometer but not the left. Under the conditions of this study, the pedometer worn at the waist level directly above the left leg provided reliable and valid measures of walking steps taken during typical everyday activities. The pedometer worn on the right side of the body underestimated the number of steps taken. Further research on the influence of leg dominance, surface, shoe type, pedometer brand, and gait is needed.
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Valbuena, Diego. "Monetary Reinforcement for Increasing Walking in Adults with Intellectual Disabilities." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7238.

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Physical inactivity is a widespread problem associated with numerous health problems. Individuals with intellectual disabilities are at a high risk of living a sedentary lifestyle. Although a few studies have examined interventions consisting of goal-setting and reinforcement for increasing PA, no studies have evaluated the use of monetary reinforcement. Interventions using monetary reinforcement have been shown to be effective for increasing PA with typically developing adults. The present studies evaluated monetary reinforcement for increasing PA in adults with intellectual disabilities. Study 1 evaluate a session-based intervention where participants earned monetary rewards for attaining step count goals as recorded by pedometers. The intervention increased the rate of walking for all five participants, demonstrating experimental control with four participants. The study also found that a staff member implemented the intervention with fidelity and rated it as highly acceptable. Study 2 evaluated a whole-day intervention where participants earned monetary rewards for attaining daily step goals as measured by wrist-worn Fitbit Alta™ accelerometers. The whole-day intervention resulted in noticeable increases in daily steps for only two participants, with experimental control demonstrated for one participant. Discussion includes the advantages and limitations of the approaches in each study and recommendations for future studies.
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Sperry, Mary Dawn. "The Effect of Leisure-Based Screen Time on Physical Activity." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd974.pdf.

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Neureuther, Earlene R. "The health benefits of a pedometer based 100,000 steps/week physical activity program." Virtual Press, 2007. http://liblink.bsu.edu/uhtbin/catkey/1366497.

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The purpose of this study was to determine if increasing physical activity to 100,000 steps/week would lead to improvements in cardiovascular risk factors for the "somewhat active" to "active" population. Thirty-one subjects, 13 male (mean age 43.5 ± 14.5 years) and 18 female (mean age 38.9 ± 12.6 years) who volunteered to participate in this study completed the full 16 weeks. Subjects were eligible for the study if they were healthy, could ambulate, and their baseline activity level met the step count criteria (> 7,500 - <12,500 steps/day). Subjects underwent laboratory testing comprised of resting heart rate, resting blood pressure, body composition, blood lipid analysis, bone mineral density, and a surrogate measure of cardio-respiratory fitness, prior to and 16 weeks after completing the 100,000 steps/week intervention. After the completion of preliminary assessments, subjects were asked to wear a pedometer continuously for 16 weeks; increasing their number of steps from baseline to 100,000 steps/week. Fifty-eight percent of subjects adhered (> 90,000 steps/week) to the 100,000 steps/week physical activity program. Subjects demonstrated significant reductions in body composition measurements overtime with increased physical activity. These improvements included body mass index 27.2 ± 3.6 to 26.8 ± 3.6 kg/m2, total percent body fat 35.4 ± 9.9 to 33.9 ± 10.3%, and waist circumference 83.9 ± 10.3 to 81.6 ± 10.1cm from pre to post measurements. In conclusion, individuals already meeting minimal physical activity recommendations (i.e. somewhat active/active) can gain health benefits particularly in body composition by increasing to 100,000 steps/week with the use of a pedometer.Key Words: physical activity, pedometer, walking, weight loss, adherence, dose-response, intervention.
School of Physical Education, Sport, and Exercise Science
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Kawolics, Karen. "Comparison of Daily Steps and Active Minutes using a Fitbit Device as part of an Online Community versus Tracking Alone." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1512682140493223.

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Hongu, Nobuko, and Jamie M. Wise. "Pedometer and New Technology - Cell Phone & Google Maps: What You Need and Want to Know." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2009. http://hdl.handle.net/10150/146658.

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Pedometers are small devices worn at the hip to count the number of steps walked per day. Pedometers gained popularity as a tool for motivating and monitoring physical activity. The purpose of the publication was to provide basic mechanisms and functions of pedometers. Additionally, we provided information of new technology (cell phone and Google Maps) that are emerging as a tool for motivating physical activity.
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Books on the topic "Walking Walking Pedometers"

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Fenton, Mark. Pedometer walking. Guilford, CT: Lyons Press, 2005.

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Collis, Dr Martin. Walking, Weight and Wellness: Your Pedometer Resource Guide. Trafford Publishing, 2006.

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Manpo-Kei: The Art and Science of Step Counting. Trafford Publishing, 2006.

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King, Billie Jean. Let's Get Steppin! Saving the Next Generation..Pedometer Walking. BILLIE JEAN KING'S PUBLISHING, 2011.

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Bassett, David R., and Mark Fenton. Pedometer Walking: Stepping Your Way to Health, Weight Loss, and Fitness. The Lyons Press, 2006.

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Caminar Con Podometro/ Pedometer Walking: Con Los Que Ganar Salud, Adelgazar Y Estar En Forma / Stepping Your way to Health, Weight Loss, and Fitness. Tutor S.A., 2006.

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Book chapters on the topic "Walking Walking Pedometers"

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Copelton, Denise A. "Output that Counts: Pedometers, Sociability and the Contested Terrain of Older Adult Fitness Walking." In Technogenarians, 127–41. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444391541.ch10.

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Quintão, João Paulo, Luis Pereira, and Sara Paiva. "A Domain Independent Pedestrian Dead Reckoning System Solution for Android Smartphones." In Modern Software Engineering Methodologies for Mobile and Cloud Environments, 195–211. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9916-8.ch011.

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In this paper we propose a domain independent Pedestrian Dead Reckoning System that can be applied to any indoor environment. We describe the entire solution and adopted architecture. The user can create new indoor spaces, define reference points in it, positions for future access and also track his current location. In order to track the user's position, we solve several walking detection false positives including a common problem with most pedometers. We present results of conducted tests that show a 98% accuracy of the system. Finally, we present the developed prototype.
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Quintão, João Paulo, Luis Pereira, and Sara Paiva. "A Domain Independent Pedestrian Dead Reckoning System Solution for Android Smartphones." In Geospatial Research, 1643–59. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9845-1.ch078.

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In this chapter we propose a domain independent Pedestrian Dead Reckoning System that can be applied to any indoor environment. We describe the entire solution and adopted architecture. The user can create new indoor spaces, define reference points in it, positions for future access and also track his current location. In order to track the user's position, we solve several walking detection false positives including a common problem with most pedometers. We present results of conducted tests that show a 98% accuracy of the system. Finally, we present the developed prototype.
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Ueno, Mariko, Mitsue Muraoka, and Koichiro Takagi. "Application of a Pedometer for the Management of Impaired Glucose Tolerance in Pregnant Women." In Sugar Intake - Risks and Benefits [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93953.

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The proper management of impaired glucose tolerance (IGT) in pregnant women is important for both obstetricians and diabetologists as this condition is of interest to both obstetrics and internal medicine. Although nutritional intervention along with insulin treatment is the mainstream approach of IGT treatment in pregnant women, exercise intervention is another important component of the IGT management. A pedometer is a useful tool for objective exercise evaluation. Nonetheless, its application in the management of IGT in pregnant women is limited. On the other hand, with the widespread use of smartphones equipped with pedometer function, exercise by walking is easily monitored and utilised in both healthy pregnant women and pregnant women with obesity and impaired glucose tolerance. In this chapter, we review the present perspective on the use of a pedometer in the management of IGT in pregnant women by introducing our recently published work.
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Conference papers on the topic "Walking Walking Pedometers"

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Moy, Marilyn L., Nicole A. Weston, Elizabeth Wilson, and Caroline R. Richardson. "An Internet-Mediated Walking Program And Pedometer Increase Walking In COPD." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a2403.

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Jiang, Yiwen, Wei Tang, Neng Gao, Ji Xiang, Daren Zha, and Xiang Li. "Your Pedometer Tells You: Attribute Inference via Daily Walking Step Count." In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2019. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00173.

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Sheu, Jia Shing, Guo Shing Huang, Wei Cian Jheng, and Chih Hung Hsiao. "Design and Implementation of a Three-Dimensional Pedometer Accumulating Walking or Jogging Motions." In 2014 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2014. http://dx.doi.org/10.1109/is3c.2014.219.

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Tumkur, Kashyap, and Suneeth Subbiah. "Modeling Human Walking for Step Detection and Stride Determination by 3-Axis Accelerometer Readings in Pedometer." In 2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM). IEEE, 2012. http://dx.doi.org/10.1109/cimsim.2012.65.

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Furness, C., E. Howard, E. Limb, DG Cook, S. Kerry, C. Wahlich, C. Victor, et al. "P86 Are process evaluation measures related to intervention outcomes in the pace-up primary care pedometer-based walking trial?" In Society for Social Medicine, 61st Annual Scientific Meeting, University of Manchester, 5–8 September 2017. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/jech-2017-ssmabstracts.187.

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Israel, R., E. S. Wan, R. Goldstein, and M. Moy. "Pain, Which Is Associated with Low Exercise Capacity, Improves with a Web-Based Pedometer-Mediated Walking Intervention in Veterans with COPD." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a6297.

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Cook, DG, T. Harris, E. Limb, F. Hosking, IM Carey, S. DeWilde, C. Furness, C. Wahlick, S. Ahmad, and S. Kerry. "OP66 Effect of pedometer-based walking interventions on long-term health outcomes: prospective 4-year follow-up of 2 randomised controlled trials using routine primary care data." In Society for Social Medicine and Population Health and International Epidemiology Association European Congress Annual Scientific Meeting 2019, Hosted by the Society for Social Medicine & Population Health and International Epidemiology Association (IEA), School of Public Health, University College Cork, Cork, Ireland, 4–6 September 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/jech-2019-ssmabstracts.67.

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Tammura, Toshiyo, Yutaka Kimira, Yuichi Kimura, Soichi Maeno, Takumu Hattori, and Kotaro Minato. "Application of a pedometer in a clinical setting: Is the number of walking steps predictive of changes in blood pressure?: Prediction of blood pressure changes in blod presure by a peadmeter." In 2013 IEEE International Conference on Body Sensor Networks (BSN). IEEE, 2013. http://dx.doi.org/10.1109/bsn.2013.6575471.

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