Accelerometers Smart Road Market is Growing Rapidly Worldwide www.marketresearchfuture.com/reports/acce...
#Accelerometers #SmartRoad #SmartInfrastructure #SensorTechnology

Accelerometers Smart Road Market Emerging Markets and New Opportunities in the Semiconductor Sector, 2026 www.marketresearchfuture.com/reports/acce...
#SmartRoads #Accelerometers #SmartInfrastructure #IoTSensors #TransportationTech #UrbanInnovation

Choosing between thigh and wrist-worn #accelerometers can impact the accuracy of your study.

Thigh sensors offer precise activity and posture tracking, while wrist sensors excel in continuous, broad activity #monitoring.

😊Read...

Three Body-Worn Accelerometers in the French NutriNet-Santé Cohort: #feasibility and Acceptability Study Background: Accurate assessment of physical activity (PA) in large population-based cohorts remains a major methodological challenge. Self-reported questionnaires, although commonly used due to low cost and simplicity, are prone to recall and social desirability biases, causing misclassification and weakened associations with health outcomes. Body-worn accelerometers provide more objective and reliable measurements, but their acceptability and #feasibility in large-scale epidemiological studies must be carefully evaluated to ensure compliance, data quality, and scalability. Objective: The primary objective was to assess the acceptability of using 3 body-worn accelerometer devices (Fitbit, ActivPAL, and ActiGraph) among healthy middle-aged adults participating in the NutriNet-Santé cohort. The secondary objective was to assess the #feasibility of these devices in terms of wear-time compliance under free-living conditions. Methods: This is an ancillary study of the European WEALTH (WEarable sensor Assessment of physicaL and eaTing beHaviors) project that was conducted between 2023 and 2024 in a subsample of participants of the NutriNet-Santé surveillance in France. This sample included 126 healthy participants (62 men), with a mean age of 46.3 (SD 11.3) years. Participants wore simultaneously 3 body-worn accelerometer devices (Fitbit [wrist], ActivPAL [thigh], and ActiGraph [waist]) for 7 consecutive days. After the wear period, participants completed a specific 22-item web-based questionnaire, regarding their acceptability of using each device. This questionnaire was based on the Technology Acceptance Model, which identifies perceived usefulness and ease of use as key determinants of technology acceptance. Items were rated on a 5-point Likert scale (1=strongly disagree to 5=strongly agree). #feasibility was assessed based on the accelerometer wear time data reported in a log diary by participants. A valid day was defined as ≥600 minutes per day of wear time, and a valid week as at least 4 of such days. Acceptability scores were compared between devices using ANOVA, and #feasibility outcomes were compared using Kruskal-Wallis tests. Results: The acceptability assessment based on the questionnaire revealed significant differences among the 3 devices (P

JMIR Formative Res: Three Body-Worn Accelerometers in the French NutriNet-Santé Cohort: #feasibility and Acceptability Study #PhysicalActivity #Epidemiology #WearableTech #HealthStudy #Accelerometers

Choosing between thigh and wrist-worn #accelerometers can impact the accuracy of your study.

Thigh sensors offer precise activity and posture tracking, while wrist sensors excel in continuous, broad activity #monitoring.

😊Read...

Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review - Sports Medicine - Open Background There are no reviews describing current measurement protocols and accelerometer processing decisions that are being used in 24-h MovBeh studies, across the lifespan. We aim to synthesise information...

📊 New review on 24-h movement behavior assessment using #accelerometers!
102 studies across all ages show huge variation in protocols — from wear-time rules and epoch lengths to cut-points and devices.

🗝️ Harmonization is key to make results more comparable across studies and countries.

#Wearables

Comparability of Daily-Life Walking Speed Measured by Smartphone GPS and Ankle-Band Accelerometer: Cross-Sectional Study Background: Daily-life walking speed, which is a critical health indicator in older adults, can be measured using smartphone GPS technology. Although this method is becoming more widely accessible, it is restricted to outdoor walking. In contrast, accelerometers can capture walking speed indoors; however, there is limited information on the comparability of daily-life walking speed data between these two techniques. Objective: This study aimed to compare daily-life walking speeds measured using a smartphone GPS app and an ankle-band accelerometer. Methods: Participants were recruited from a previously selected cohort of community-dwelling older adults. Their daily-life walking speed was assessed using a smartphone app and ankle band accelerometer. Data from the two devices were matched based on simultaneous recordings, and agreement between the walking speeds was evaluated using the intraclass correlation coefficient (ICC) and a Bland-Altman plot. Results: The GPS app consistently recorded a faster walking speed than the ankle-band accelerometer. This data suggests that a correction is necessary when comparing the daily-life walking speed between these two devices. Conclusions: The GPS consistently recorded a faster walking speed than that measured by the ankle-band accelerometer, suggesting a correction is necessary when comparing the daily-life walking speed between these two devices. Clinical Trial: None.

JMIR Formative Res: Comparability of Daily-Life Walking Speed Measured by Smartphone GPS and Ankle-Band Accelerometer: Cross-Sectional Study #WalkingSpeed #HealthIndicators #SmartphoneTechnology #Accelerometers #OlderAdults

Choosing between thigh and wrist-worn #accelerometers can impact the accuracy of your study.

Thigh sensors offer precise activity and posture tracking, while wrist sensors excel in continuous, broad activity #monitoring.

😊Read...

How Android phones became an earthquake warning system https://arstechni.ca #AndroidEarthquakeAlert #accelerometers #earthquakes #smartphones #seismology #Science #android #Google

How Android phones became an earthquake warning system The system uses phones' accelerometers to trigger warnings ahead of the shaking. If you're the owner of an Android phone and live in a...

#Google #Science #accelerometers #android #Android #Earthquake […]

[Original post on arstechnica.com]

Global MEMS Accelerometer And Gyroscope Market Research Report 2025: Trends, Growth & Industry Insights Explore the latest trends and growth drivers in the global MEMS accelerometer and gyroscope market. Our comprehensive research report offers insights into industry applications, innovations, and forec...

MEMS Accelerometer and Gyroscope Market to Grow at 10.5% CAGR Through 2032

#MEMS #Accelerometers #Gyroscopes #MotionSensors #Wearables #Smartphones #AutonomousVehicles #SensorFusion #IMU #DigitalTransformation

Choosing between thigh and wrist-worn #accelerometers can impact the accuracy of your study.

Thigh sensors offer precise activity and posture tracking, while wrist sensors excel in continuous, broad activity #monitoring.

😊Read...

Moving Standard Deviation of Trunk Acceleration as a Quantification Index for Physical Activities: Validation Study Background: Step count is used to quantify activity in individuals using accelerometers. However, challenges such as difficulty in detecting steps during slow or irregular gait patterns and the inability to apply this method to wheelchair users limit the broader utility of accelerometers. Alternative device-specific measures of physical activity exist, but their specificity limits cross-applicability between different device sensors. Moving standard deviation of acceleration (MSDA), obtained from truncal acceleration measurements, is proposed as another alternative variable to quantify physical activity in patients. Objective: This study aimed to evaluate the validity and #feasibility of MSDA for quantifying physical activity in patients with stroke-induced hemiparesis by comparing it with the traditional step count. Methods: We enrolled 197 consecutive patients with stroke hemiparesis admitted to a convalescent rehabilitation ward. Using the hitoe system, a smart clothing-based physical activity measurement system, we measured MSDA of trunk movement and step count. The correlation between MSDA and step count was examined in all participants. Based on their daily living mobility levels, measured using the Functional Independence Measure (FIM), participants were categorized into six subgroups: FIM1–4, FIM5 (wheelchair), FIM5 (walking), FIM6 (wheelchair), FIM6 (walking), and FIM7 (walking). Inter-subgroup differences in MSDA were analyzed. Results: A strong correlation was observed between MSDA and step count (r = 0.78, p < 0.001), with a stronger correlation in the walking group (r = 0.79, p < 0.001) compared to the wheelchair group (r = 0.55, p < 0.001). The Shapiro–Wilk test indicated no significant results for MSDA across all subgroups, supporting a normal distribution within these groups. In contrast, the step count data for the wheelchair subgroups showed significant results, indicating a deviation from normal distribution. Additionally, 20 participants (10.2%) recorded zero steps, demonstrating a floor effect in the step count data. The median MSDA values for the six subgroups—FIM1–4, FIM5 WC, FIM5 walking, FIM6 WC, FIM6 walking, and FIM7—were 0.006, 0.007, 0.010, 0.011, 0.011, and 0.014, respectively, reflecting their levels of independence based on the FIM mobility scores. The median step counts for these subgroups were 68, 233, 1386, 367, 2835, and 4462, respectively. FIM5 participants who walked had higher step counts than FIM6 participants using wheelchairs, though the difference was only marginally significant (p = 0.07), highlighting the impact of mobility type (walking vs. wheelchair). Conclusions: The results suggest the validity of MSDA as a variable for physical activity in patients with stroke, applicable to patients with stroke irrespective of their mobility measures. This finding highlights the potential of MSDA for use in individuals with motor impairments, including wheelchair users, underscoring its broad utility in rehabilitation clinical practice.

JMIR Formative Res: Moving Standard Deviation of Trunk Acceleration as a Quantification Index for Physical Activities: Validation Study #PhysicalActivity #Healthcare #StrokeRecovery #Accelerometers #ResearchStudy

Can wrist-worn #Accelerometers track mood in stroke survivors? Dr. Stephanie Zawada (@mayoclinic.org) & team explore this in JMIR Neurotechnology. Their findings could help shape future remote monitoring programs. 🎥 Watch: youtu.be/BWKJg2ovjhQ #JMIRNeurotechnology

🚨 New Review on Sit-to-Stand Velocity (STSv)!

💡 Findings from 15 studies:
✅ STSv commonly assessed with thigh-worn #accelerometers
❌ No consensus on algorithms or data processing (sampling rate & filtering characteristics)

🔗: doi.org/10.1123/jmpb...

#WearableTech #HealthMonitoring #Research

These are #hightemperature #accelerometers from Dytran. Good to 1000F/540C, no prob, we can go hotter with new #piezoelectric material. Reorient the crystals and u don't need a big block, all 3 axis can exit the same direction for a low profile #sensor solution. Want to know more?