<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: A Wearable Wireless Sensor Network for Human Activity Detection</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/KB7AUC</dcterms:identifier><dcterms:creator>Gunawardena, Subodha</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2025-11-05</dcterms:issued><dcterms:modified>2025-11-05T09:24:33Z</dcterms:modified><dcterms:description>Collection of 3 axis accelerometer readings taken at 40 Hz frequency
Sensor locations
1: Left wrist
2. Left ankle
3. Right ankle
4. Right wrist
5.Torso</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Engineering</dcterms:subject><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:subject>Activity Detection, Activity Recognition, Rehabilitation, Fall Detection</dcterms:subject><dcterms:IsSupplementTo>https://www.researchgate.net/publication/392282483_Wireless_Sensor_Network_Aided_Human_Activity_Detection_Using_Artificial_Intelligence?channel=doi&amp;linkId=683c2051df0e3f544f5c41c5&amp;showFulltext=true</dcterms:IsSupplementTo><dcterms:date>2025-11-05</dcterms:date><dcterms:contributor>Gunawardena, Subodha</dcterms:contributor><dcterms:dateSubmitted>2025-11-05</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>