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Ting Zhang
University of Alabama
EngineeringGaitRehabilitationComputer visionComputer science
24Publications
7H-index
207Citations
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Publications 26
Newest
#1Xin Zhang (UHCL: University of Houston–Clear Lake)
#2Jiang Lu (UHCL: University of Houston–Clear Lake)H-Index: 9
Last. Ting Zhang (University of Houston–Downtown)H-Index: 7
view all 6 authors...
This paper presents a robustness and real-time target tracking system for mobile robots applications based on the Camshift algorithm. Camshift is a continuously adaptive Meanshift algorithm. It is an improved method of meanshift. It can adjust the window size of tracking object automatically to fit the object area when the size of tracking object is changing. The Camshift algorithm is introduced and improvements of Camshift algorithm are analyzed in this paper. The hardware and software structur...
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#1Xin Zhang (UHCL: University of Houston–Clear Lake)
#2Francisco Reveriano (UHCL: University of Houston–Clear Lake)
Last. Ting Zhang (University of Houston–Downtown)H-Index: 7
view all 5 authors...
In this paper, the facial expression recognition(FER) application is achieved by integrating Machine Learning and High Performance Computing (HPC). The convolutional neural network(CNN) will be trained utilizing the XSEDE high-performance computing resources. To observe the performance of HPC, CNN model has been trained with different values of parameters and their training times are provided. Compared to an ordinary computer, HPC with CPU and Google Colaboratory with GPU, this research explores...
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May 1, 2019 in ICBHI (IEEE-EMBS International Conference on Biomedical and Health Informatics)
#1Wenlong Tang (Novartis)H-Index: 9
#2George D. Fulk (Clarkson University)H-Index: 20
Last. Edward Sazonov (UA: University of Alabama)
view all 5 authors...
Measuring humans' functional balance is important for clinical estimation of fall risk. Although many clinical assessments, such as Berg Balance Scale and Mini Balance Evaluation System Test, are available to test the functional balance, the results are affected by the skills of different operators. This paper proposes an objective approach to access the functional balance by a wearable sensor system embedded in the shoe and a hip accelerometer. Support Vector Machine regression models are built...
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#1Nagaraj Hegde (UA: University of Alabama)H-Index: 7
#2Ting Zhang (UA: University of Alabama)H-Index: 7
Last. Edward Sazonov (UA: University of Alabama)H-Index: 27
view all 10 authors...
Cerebral palsy (CP) is a group of nonprogressive neuro-developmental conditions occurring in early childhood that causes movement disorders and physical disability. Measuring activity levels and gait patterns is an important aspect of CP rehabilitation programs. Traditionally, such programs utilize commercially available laboratory systems, which cannot to be utilized in community living. In this study, a novel, shoe-based, wearable sensor system (pediatric SmartShoe) was tested on 11 healthy ch...
6 CitationsSource
Nov 1, 2017 in DASC (Dependable Autonomic and Secure Computing)
#1Lucy NwosuH-Index: 1
#2Hui WangH-Index: 1
Last. Ting Zhang (UA: University of Alabama)H-Index: 7
view all 6 authors...
This paper proposes the design of a Facial Expression Recognition (FER) system based on deep convolutional neural network by using facial parts. In this work, a simple solution for facial expression recognition that uses a combination of algorithms for face detection, feature extraction and classification is discussed. The proposed method uses a two-channel convolutional neural network in which Facial Parts (FPs) are used as input to the first convolutional layer, the extracted eyes are used as ...
5 CitationsSource
#1Jiang Lu (UHCL: University of Houston–Clear Lake)H-Index: 9
#2Ting Zhang (University of Houston–Downtown)H-Index: 7
Last. Fei Hu (UA: University of Alabama)H-Index: 35
view all 5 authors...
This paper presents a compressive tracking framework using distributed binary sensors. The goal of this research is to achieve the minimum data throughput for an accurate multitarget tracking system through novel spatial sampling schemes. The framework consists of two main components: space encoding and measurement decoding. The space encoding scheme is based on the low-density parity-check matrix, which converts k-sparse target position vectors into different codewords. The measurement decod...
6 CitationsSource
Aug 1, 2017 in UIC (Ubiquitous Intelligence and Computing)
#1Jiang Lu (UHCL: University of Houston–Clear Lake)H-Index: 9
#2Xingang Fu (Texas A&M University–Kingsville)H-Index: 1
Last. Ting Zhang (University of Houston–Downtown)H-Index: 7
view all 3 authors...
This paper presents an Internet of Things (IoT) based face detection system. The main objective is to build a fully automated human face detection system for images with complex backgrounds. Our system can capture images and run face detection algorithms on each IoT smart camera device, which is required to write face detection program code. The raspberry Pi 3 board is used as the gateway of IoT smart camera device with a camera on it. The final detected faces will be sent to remote devices, e.g...
1 CitationsSource
#1Ting Zhang (MUC: Minzu University of China)H-Index: 7
Facial expression recognition (FER) enables computers to understand human emotions and is the basis and prerequisite for quantitative analysis of human emotions. As a challenging interdisciplinary in biometrics and emotional computing, FER has become a research hotspot in the field of pattern recognition, computer vision and artificial intelligence both at home and abroad. As a new machine learning theory, deep learning not only emphasizes the depth of learning model, but also highlights the imp...
5 CitationsSource
Feb 1, 2017 in SMC (Systems, Man and Cybernetics)
#1Jiang Lu (UHCL: University of Houston–Clear Lake)H-Index: 9
#2Ting Zhang (UA: University of Alabama)H-Index: 7
Last. Qi Hao (SUSTech: South University of Science and Technology of China)H-Index: 15
view all 4 authors...
This paper presents an information-gain-based sensor selection approach as well as a sensor sensing probability model-based calibration process for multihuman tracking in distributed binary pyroelectric infrared sensor networks. This research includes three contributions: 1) choose the subset of sensors that can maximize the mutual information between sensors and targets; 2) find the sensor sensing probability model to represent the sensing space for sensor calibration; and 3) provide a factor g...
19 CitationsSource
Feb 1, 2017 in SMC (Systems, Man and Cybernetics)
#1Fei Hu (UA: University of Alabama)H-Index: 35
#2Qi Hao (SUSTech: South University of Science and Technology of China)H-Index: 15
Last. Jiang Lu (UHCL: University of Houston–Clear Lake)H-Index: 9
view all 8 authors...
In this paper, we propose to build a comprehensive cyberphysical system (CPS) with virtual reality (VR) and intelligent sensors for motion recognition and training. We use both wearable wireless sensors (such as electrocardiogram, motion sensors) and nonintrusive wireless sensors (such as gait sensors) to monitor the motion training status. We first provide our CPS architecture. Then we focus on motion training from three perspectives: 1) VR—first we introduce how we can use motion capture camer...
9 CitationsSource
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