Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: On-body localization of wearable devices: An investigation of position-aware activity recognition
A Survey on Human Activity Recognition using Wearable Sensors
Robust and Accurate Smartphone-Based Step Counting for Indoor Localization
Human Activity Recognition Using Inertial/Magnetic Sensor Units
Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
Self-contained Position Tracking of Human Movement Using Small Inertial/Magnetic Sensor Modules
from action to activity : sensor - based activity recognition .
A Deep Learning Approach to Human Activity Recognition Based on Single Accelerometer
Accurate Activity Recognition in a Home Setting
Novel approaches to human activity recognition based on accelerometer data
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
A benchmark dataset to evaluate sensor displacement in activity recognition
A movement activity recognition pervasive system for patient monitoring in ambient assisted living
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors
USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors
Detection of daily physical activities using a triaxial accelerometer
A Survey on Wi-Fi Based Contactless Activity Recognition
Improving Accelerometer-Based Activity Recognition by Using Ensemble of Classifiers
Daily activity recognition with inertial ring and bracelet: An unsupervised approach
Multimodal Human Activity Recognition From Wearable Inertial Sensors Using Machine Learning
User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach
A transition-based approach for AMR parsing using LSTM networks
Shape Quantization and Recognition with Randomized Trees
A power-on reset pulse generator for low voltage applications
Image-based simulation of urethral distensibility and flow resistance as a function of pelvic floor anatomy.
The Circumstantial Event Ontology (CEO)