107 citations · 119 across the 3 of their papers we have counts for
3 papers
stat.ML2020★ 5 cited
Personalized Activity Recognition with Deep Triplet Embeddings
David M. Burns, Cari M. Whyne
A significant challenge for a supervised learning approach to inertial human activity recognition is the heterogeneity of data between individual users, resulting in very poor perf…
stat.ML2018★ 7 cited
Seglearn: A Python Package for Learning Sequences and Time Series
David M. Burns, Cari M. Whyne
Seglearn is an open-source python package for machine learning time series or sequences using a sliding window segmentation approach. The implementation provides a flexible pipelin…
cs.HC2018★ 107 cited
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch
David Burns, Nathan Leung, Michael Hardisty +3
Objective: Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adh…