A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology

Josh Carter, Adrian Rivadulla, Ezio Preatoni

Research output: Contribution to journal › Article › peer-review

5 Citations (SciVal)
235 Downloads (Pure)

Fingerprint

Dive into the research topics of 'A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology'. Together they form a unique fingerprint.

Engineering

Computer Science