2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2022★ 1 cited
A 'one-size-fits-most' walking recognition method for smartphones, smartwatches, and wearable accelerometers
Marcin Straczkiewicz, Emily J. Huang, Jukka-Pekka Onnela
The ubiquity of personal digital devices offers unprecedented opportunities to study human behavior. Current state-of-the-art methods quantify physical activity using 'activity cou…
stat.ME2021
Combining Accelerometer and Gyroscope Data in Smartphone-Based Activity Recognition using Movelets
Emily Huang, Kebin Yan, Jukka-Pekka Onnela
Physical activity patterns can be informative about a patient's health status. Traditionally, activity data have been gathered using patient self-report. However, these subjective…
cs.HC2019★ 2 cited
Activity Classification Using Smartphone Gyroscope and Accelerometer Data
Emily Huang, Jukka-Pekka Onnela
Activities, such as walking and sitting, are commonly used in biomedical settings either as an outcome or covariate of interest. Researchers have traditionally relied on surveys to…