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Charence Wong
Imperial College London
15Publications
6H-index
286Citations
Publications 15
Newest
#1Fani Deligianni (Imperial College London)H-Index: 14
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
A two-step approach for modelling spatio-temporal GRFs distributions and foot angle.Fusion of e-AR signal and video to model the foot angle during key gait events.Invariant features of angular information from video recordings improve performance. Gait analysis plays an important role in several conditions, including the rehabilitation of patients with orthopaedic problems and the monitoring of neurological conditions, mental health problems and the well-being of elderly subjects. It also consti...
May 1, 2017 in BSN (Wearable and Implantable Body Sensor Networks)
#1Yingnan Sun (Imperial College London)H-Index: 1
#2Charence Wong (Imperial College London)H-Index: 6
Last.Benny Lo (Imperial College London)H-Index: 23
view all 4 authors...
With increasing popularity of wearable and Body Sensor Networks technologies, there is a growing concern on the security and data protection of such low-power pervasive devices. With very limited computational power, BSN sensors often cannot provide the necessary data protection to collect and process sensitive personal information. Since conventional network security schemes are too computationally demanding for miniaturized BSN sensors, new methods of securing BSNs have proposed, in which Biom...
Jan 1, 2017 in BHI (Biomedical and Health Informatics)
#1Daniele Ravì (Imperial College London)H-Index: 10
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires efficient methods of classification and analysis where deep learning is a promising technique for large-scale data analytics. While deep learning has been successful in implementations that utilize high-performance computing platforms, its use on low...
Jan 1, 2017 in BHI (Biomedical and Health Informatics)
#1Daniele Ravì (Imperial College London)H-Index: 10
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 7 authors...
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvemen...
#1Delaram Jarchi (Imperial College London)H-Index: 8
#2Benny Lo (Imperial College London)H-Index: 23
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 6 authors...
Objective assessment of detailed gait patterns after orthopaedic surgery is important for post-surgical follow-up and rehabilitation. The purpose of this paper is to assess the use of a single ear-worn sensor for clinical gait analysis. A reliability measure is devised for indicating the confidence level of the estimated gait events, allowing it to be used in free-walking environments and for facilitating clinical assessment of orthopaedic patients after surgery. Patient groups prior to or follo...
Jun 1, 2016 in BSN (Wearable and Implantable Body Sensor Networks)
#1Daniele Ravì (Imperial College London)H-Index: 10
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
Human Activity Recognition provides valuable contextual information for wellbeing, healthcare, and sport applications. Over the past decades, many machine learning approaches have been proposed to identify activities from inertial sensor data for specific applications. Most methods, however, are designed for offline processing rather than processing on the sensor node. In this paper, a human activity recognition technique based on a deep learning methodology is designed to enable accurate and re...
#1Charence Wong (Imperial College London)H-Index: 6
#2Zhiqiang Zhang (Imperial College London)H-Index: 13
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
Understanding the solid biomechanics of the human body is important to the study of structure and function of the body, which can have a range of applications in health care, sport, well-being, and workflow analysis. Conventional laboratory-based biomechanical analysis systems and observation-based tests are designed only to capture brief snapshots of the mechanics of movement. With recent developments in wearable sensing technologies, biomechanical analysis can be conducted in less-constrained ...
Aug 1, 2014 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Charence Wong (Imperial College London)H-Index: 6
#2Zhiqiang Zhang (Imperial College London)H-Index: 13
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
#1Delaram Jarchi (Imperial College London)H-Index: 8
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 6 authors...
This paper presents a new approach to gait analysis and parameter estimation from a single miniaturized ear-worn sensor embedded with a triaxial accelerometer. Singular spectrum analysis combined with the longest common subsequence algorithm has been used as a basis for gait parameter estimation. It incorporates information from all axes of the accelerometer to estimate parameters including swing, stance, and stride times. Rather than only using local features of the raw signals, the periodicity...
May 1, 2013 in BSN (Wearable and Implantable Body Sensor Networks)
#1Charence Wong (Imperial College London)H-Index: 6
#2Zhiqiang Zhang (Imperial College London)H-Index: 13
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
Pervasive human motion capture in the workplace facilitates detailed analysis of the actions of individual subjects and team interaction. It is also important for ergonomic studies for assessing instrument design and workflow analysis. However, a busy, dynamic, team-based environment, such as the operating theatre poses a number of challenges for the currently used marker-based and sensor-based motion capture systems. Occlusions and sensor drift can affect the accuracy of the estimated motion. I...
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