Outputs (14)

A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition (2018)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2018). A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition. IEEE Sensors Journal, 18(16), 6874-6888. https://doi.org/10.1109/jsen.2018.2833745

Sensor-based human activity recognition (HAR) has received considerable attention due to its wide applications in health care. Each sensor modality has its advantages and limitations. Single sensor modalities sometimes may not cope with complex situa... Read More about A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition.

An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors (2018)
Journal Article
Anwary, A., Yu, H., & Vassallo, M. (2018). An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors. Sensors, 18(2), 676. https://doi.org/10.3390/s18020676

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait asymmetry by extracting automatic gait features. We design and develop an android app to collect real time synchronous IMU data from legs. The results from... Read More about An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors.

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System (2018)
Journal Article
Arshad, S., Shah, M. A., Wahid, A., Mehmood, A., Song, H., & Yu, H. (2018). SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System. IEEE Access, 6, 4321-4339. https://doi.org/10.1109/access.2018.2792941

For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention. Android allows downloading and installation of apps from other unofficial mar... Read More about SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System.

Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis (2018)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2018). Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis. IEEE Sensors Journal, 18(6), 2555-2567. https://doi.org/10.1109/jsen.2017.2786587

Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is important to find the optimal sensor placement and the parameters that influence the extraction of automatic gait features. We investigated the effect of d... Read More about Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis.