A public wearable activity recognition database is constructed by Mr Hamed Rezaii _a PhD student in eSense lab_. The database is comprised of 20 healthy subjects in 7 action categories. Using up to four accelometer sensors connected with IEEE 802.15.4 standard in our database, we benchmark a stream-based AR system as well as our proposed feedback controller algorithm to compare our results.

The outcome of our tests is currently under review (Smart Wearable Devices) and will be available from our publication link.

To access our publically available activity recognition database, please contact h_rezaie@sbu.ac.ir with a subject line set as: “AR database”