Detection of Infectious Respiratory Disease Through Sweat From Axillary Using an E-Nose With Stacked Deep Neural Network | 0 | 0.34 | 2022 |
Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data | 0 | 0.34 | 2021 |
On-Device Deep Personalization For Robust Activity Data Collection | 0 | 0.34 | 2021 |
Using LUPI to Improve Complex Activity Recognition | 0 | 0.34 | 2021 |
CrowdAct: Achieving High-Quality Crowdsourced Datasets in Mobile Activity Recognition. | 1 | 0.34 | 2021 |
Integrating a spoken dialogue system, nursing records, and activity data collection based on smartphones | 0 | 0.34 | 2021 |
Using additional training sensors to improve single-sensor complex activity recognition | 1 | 0.34 | 2021 |
Transition-points-based Segmentation and Hierarchical Classification for Locomotion and Transportation recognition on Radio-data | 0 | 0.34 | 2021 |
Analysis of Feature Importances for Automatic Generation of Care Records | 0 | 0.34 | 2021 |
Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data? | 0 | 0.34 | 2021 |
PerMML: A Performance Metric for Multi-layer Dataset | 0 | 0.34 | 2021 |
A Method for Sensor-Based Activity Recognition in Missing Data Scenario. | 0 | 0.34 | 2020 |
WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers | 0 | 0.34 | 2020 |
Improving fine-tuned question answering models for electronic health records | 0 | 0.34 | 2020 |
MCoMat: a new performance metric for imbalanced multi-layer activity recognition dataset | 0 | 0.34 | 2020 |
Improving activity data collection with on-device personalization using fine-tuning | 0 | 0.34 | 2020 |
Wearable Sensor-Based Gait Analysis for Age and Gender Estimation. | 0 | 0.34 | 2020 |
Summary of the 2nd nurse care activity recognition challenge using lab and field data | 0 | 0.34 | 2020 |
UPIC: user and position independent classical approach for locomotion and transportation modes recognition | 0 | 0.34 | 2020 |
Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care. | 0 | 0.34 | 2019 |
Position independent activity recognition using shallow neural architecture and empirical modeling | 0 | 0.34 | 2019 |
Human activity recognition using earable device | 0 | 0.34 | 2019 |
On-Device Deep Learning Inference for Efficient Activity Data Collection. | 0 | 0.34 | 2019 |
Nurse care activity recognition challenge: summary and results | 0 | 0.34 | 2019 |
OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender | 0 | 0.34 | 2019 |
Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition. | 1 | 0.37 | 2019 |
Sensor-Based Daily Activity Understanding in Caregiving Center | 1 | 0.63 | 2019 |
Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study | 0 | 0.34 | 2019 |
Evaluation Of Transfer Learning For Human Activity Recognition Among Different Datasets | 0 | 0.34 | 2019 |
Optimizing activity data collection with gamification points using uncertainty based active learning | 0 | 0.34 | 2019 |
A dialogue-based annotation for activity recognition | 0 | 0.34 | 2019 |
Reduction of marker-body matching work in activity recognition using motion capture | 0 | 0.34 | 2019 |
Towards pervasive geospatial affect perception. | 1 | 0.41 | 2018 |
Machine Learning of User Attentions in Sensor Data Visualization. | 0 | 0.34 | 2018 |
Study of LoRaWAN Technology for Activity Recognition. | 2 | 0.36 | 2018 |
A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition. | 0 | 0.34 | 2018 |
Gamification for High-Quality Dataset in Mobile Activity Recognition. | 1 | 0.37 | 2018 |
Deep recurrent neural network for mobile human activity recognition with high throughput | 7 | 0.52 | 2018 |
Sensing Experiment in a Caregiving Facility for Correlation Analysis of Sleep and Daytime Activities. | 0 | 0.34 | 2018 |
A Multi-Sensor Setting Activity Recognition Simulation Tool. | 0 | 0.34 | 2018 |
A Mobile App for Nursing Activity Recognition. | 0 | 0.34 | 2018 |
Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information. | 0 | 0.34 | 2018 |
Supervised and Neural Classifiers for Locomotion Analysis. | 0 | 0.34 | 2018 |
Pre-Consulting Dialogue Systems for Telemedicine: Yes/No Intent Classification. | 0 | 0.34 | 2018 |
Activity Recognition: Translation across Sensor Modalities Using Deep Learning. | 0 | 0.34 | 2018 |
Dialogue Breakdown Detection with Long Short Term Memory. | 0 | 0.34 | 2018 |
Activity Recognition by Using LoRaWAN Sensor. | 2 | 0.36 | 2018 |
5th Int. workshop on human activity sensing corpus and applications (HASCA): towards open-ended context awareness. | 1 | 0.41 | 2017 |
Recognition of multiple overlapping activities using compositional CNN-LSTM model. | 2 | 0.36 | 2017 |
Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments. | 2 | 0.38 | 2016 |