#ActiveCommuting

@misswiredau.bsky.social

5 months ago

Another week of #cycling ~26 minutes each way to the office this week. I'm aiming to bring that time down to around 15-18 minutes over time. #CommutingCyclist #commuting #ActiveCommuting

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Association for Commuter Transportation

@actnational.bsky.social

5 months ago

Sam Balto is your day two #TDMForum keynote speaker! Sam turned the simple act of biking to school together into a global movement.

Thank you to OneCommute for sponsoring this keynote.

#ActiveTransportation #BikeBus #ActiveCommuting

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JMIR Publications

@jmirpub.bsky.social

6 months ago

Recognizing Skateboard and Kickboard Commuting Behaviors Using Activity Trackers: #feasibility Study Using Machine Learning Approaches Background: Active commuting, such as skateboarding and kickboarding, is gaining popularity as an alternative to traditional modes of transportation like walking and cycling. However, current activity trackers and smartphones, which rely on accelerometer data, are primarily designed to recognize symmetrical locomotive activities (e.g., walking, running) and may struggle to accurately identify the unique push-push-glide motion patterns of skateboarding and kickboarding. Objective: This study utilized machine learning techniques to evaluate the #feasibility of classifying skateboard and kickboard commuting behaviors using data from wearable sensors and smartphones. A secondary objective was to identify the most important sensor-derived features for accurate activity recognition. Methods: Ten participants (4 women, 6 men; aged 12-55 years) performed nine activities, including skateboarding, kickboarding, walking, running, bicycling, ascending and descending stairs, sitting, and standing. Data were collected using wearable sensors (accelerometer, gyroscope, barometer) placed on the wrist, hip, and in the pocket to replicate the sensing characteristics of commercial activity trackers and smartphones. The signal processing approach included the extraction of a total of 211 features from 10- and 20-second sliding windows. Random forest classifiers were trained to perform multi-class and binary classifications, including distinguishing skateboarding and kickboarding from other activities. Results: Wrist-worn sensor configurations achieved the highest balanced accuracies for multi-class classification (84-88%). Skateboarding and kickboarding were recognized with sensitivities of 93-99% and 97-99%, respectively. Hip and pocket sensor configurations showed lower performance, particularly in distinguishing skateboarding (49-58% sensitivity) from kickboarding (78% sensitivity). Binary classification models grouping skateboarding and kickboarding into a "push-push-glide" superclass achieved high accuracies (91-95%). Key features for classification included low- and high-frequency accelerometer signals, as well as roll-pitch-yaw angles. Conclusions: This study demonstrates the #feasibility of recognizing skateboard and kickboard commuting behaviors using wearable sensors, particularly wrist-worn devices. While hip and pocket sensors showed limitations in differentiating these activities, the broader "push-push-glide" classification achieved acceptable accuracy, suggesting its potential for integration into activity tracker software. Future research should explore sensor fusion approaches to further enhance recognition performance and address the question of energy expenditure estimation.

JMIR Formative Res: Recognizing Skateboard and Kickboard Commuting Behaviors Using Activity Trackers: #feasibility Study Using Machine Learning Approaches #Skateboarding #Kickboarding #ActiveCommuting #Transportation #WearableTech

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Citizen Portal News Idaho

@citizenptnewsid.bsky.social

11 months ago

Local Bicycle Committee plans community events for May including bike bus and commuter cup May events include a bike bus and commuter cup to promote alternative commuting.

Get ready, Sandpoint! Exciting events like the "Commuter Cup" and a community bike bus are coming this May to promote healthier and greener commuting options.

Learn more here!

#SandpointBonnerCounty #ID #CitizenPortal #SandpointCommunity #CommunityEngagement #ActiveCommuting

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ISBNPA

@isbnpa.bsky.social

11 months ago

New #IJBNPA publication systematically assessed the effectiveness of #Cycling infrastructure on #PhysicalActivity and #ActiveCommuting!
Check this out👇
ijbnpa.biomedcentral.com/articles/10....

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Posts tagged #ActiveCommuting