Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Activity recognition from acceleration data based on discrete consine transform and SVM
Activity recognition from user-annotated acceleration data
Feature Learning for Activity Recognition in Ubiquitous Computing
Phone position/placement detection using accelerometer: Impact on activity recognition
Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach
Human Activity Classification in Smartphones Using Accelerometer and Gyroscope Sensors
Leveraging Smartphone Sensor Data for Human Activity Recognition
Transition-Aware Human Activity Recognition Using Smartphones
Deep Learning for Sensor-based Activity Recognition: A Survey
A Scalable Approach to Activity Recognition based on Object Use
A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel
Sensor-Based Activity Recognition
A Robust Deep Learning Approach for Position-Independent Smartphone-Based Human Activity Recognition
Action2Activity: Recognizing Complex Activities from Sensor Data
Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors
ACTIVITY RECOGNITION USING K-NEAREST NEIGHBOR ALGORITHM ON SMARTPHONE WITH TRI-AXIAL ACCELEROMETER
Activity recognition using cell phone accelerometers
Unsupervised learning for human activity recognition using smartphone sensors
Detection of daily physical activities using a triaxial accelerometer
A robust human activity recognition system using smartphone sensors and deep learning
Activity recognition using one triaxial accelerometer: a neuro-fuzzy classifier with feature reduction
Wireless Sensor Networks: A Survey
Echo State Networks-Based Reservoir Computing for MNIST Handwritten Digits Recognition
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
Transformer Field Drying Procedures: A Theoretical Analysis
A Fire-Alarming Method Based on Video Processing