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Dive into the research topics where Xueliang Huo is active.

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Featured researches published by Xueliang Huo.


Journal of Neuroengineering and Rehabilitation | 2012

Dual-task motor performance with a tongue-operated assistive technology compared with hand operations.

Ashley N. Johnson; Xueliang Huo; Maysam Ghovanloo; Minoru Shinohara

BackgroundTo provide an alternative motor modality for control, navigation, and communication in individuals suffering from impairment or disability in hand functions, a Tongue Drive System (TDS) has been developed that allows for real time tracking of tongue motion in an unobtrusive, wireless, and wearable device that utilizes the magnetic field generated by a miniature disk shaped magnetic tracer attached to the tip of the tongue. The purpose of the study was to compare the influence of a concurrent motor or cognitive task on various aspects of simple movement control between hand and tongue using the TDS technology.MethodsThirteen young able-bodied adults performed rapid and slow goal-directed movements of hand and tongue (with TDS) with and without a concurrent motor (hand or tongue) or cognitive (arithmetic and memory) task. Changes in reaction time, completion time, speed, correctness, accuracy, variability of displacement, and variability of time due to the addition of a concurrent task were compared between hand and tongue.ResultsThe influence of an additional concurrent task on motor performance was similar between the hand and tongue for slow movement in controlling their displacement. In rapid movement with a concurrent motor task, most aspects of motor performance were degraded in hand, while tongue speed during rapid continuous task was maintained. With a concurrent cognitive task, most aspects of motor performance were degraded in tongue, while hand accuracy during the rapid discrete task and hand speed during the rapid continuous task were maintained.ConclusionRapid goal-directed hand and tongue movements were more consistently susceptible to interference from concurrent motor and cognitive tasks, respectively, compared with the other movement.


IEEE Transactions on Neural Systems and Rehabilitation Engineering | 2008

A Magneto-Inductive Sensor Based Wireless Tongue-Computer Interface

Xueliang Huo; Jia Wang; Maysam Ghovanloo

We have developed a noninvasive, unobtrusive magnetic wireless tongue-computer interface, called ldquoTongue Drive,rdquo to provide people with severe disabilities with flexible and effective computer access and environment control. A small permanent magnet secured on the tongue by implantation, piercing, or tissue adhesives, is utilized as a tracer to track the tongue movements. The magnetic field variations inside and around the mouth due to the tongue movements are detected by a pair of three-axial linear magneto-inductive sensor modules mounted bilaterally on a headset near the users cheeks. After being wirelessly transmitted to a portable computer, the sensor output signals are processed by a differential field cancellation algorithm to eliminate the external magnetic field interference, and translated into user control commands, which could then be used to access a desktop computer, maneuver a powered wheelchair, or control other devices in the users environment. The system has been successfully tested on six able-bodied subjects for computer access by defining six individual commands to resemble mouse functions. Results show that the Tongue Drive system response time for 87% correctly completed commands is 0.8 s, which yields to an information transfer rate of ~ 130 b/min.


IEEE Transactions on Biomedical Engineering | 2009

Using Unconstrained Tongue Motion as an Alternative Control Mechanism for Wheeled Mobility

Xueliang Huo; Maysam Ghovanloo

Tongue drive system (TDS) is a tongue-operated, minimally invasive, unobtrusive, noncontact, and wireless assistive technology that infers userspsila intentions by detecting and classifying their voluntary tongue motions, and translating them to user-defined commands. We have developed customized interface circuitry between an external TDS (eTDS) prototype and a commercial powered wheelchair (PWC) as well as three control strategies to evaluate the tongue motion as an alternative control input for wheeled mobility. We tested the eTDS performance in driving PWCs on 12 able-bodied human subjects, of which 11 were novice. The results showed that all subjects could complete navigation tasks by operating the PWC using their tongue motions. Despite little prior experience, the average time using the eTDS and the tongue was only approximately three times longer than using a joystick and the fingers. Navigation time was strongly dependant on the number of issued commands, which reduced by gaining experience. Particularly, the unintended issued commands (the Midas touch problem) were rare, demonstrating the effectiveness of the tongue tracking and external magnetic field cancellation algorithms as well as the safety of the TDS for wheeled mobility.


Journal of Rehabilitation Research and Development | 2008

Introduction and preliminary evaluation of the Tongue Drive System: Wireless tongue-operated assistive technology for people with little or no upper-limb function

Xueliang Huo; Jia Wang; Maysam Ghovanloo

We have developed a wireless, noncontact, unobtrusive, tongue-operated assistive technology called the Tongue Drive System (TDS). The TDS provides people with minimal or no movement ability in their upper limbs with an efficacious tool for computer access and environmental control. A small permanent magnet secured on the tongue by implantation, piercing, or tissue adhesives is used as a tracer, the movement of which is detected by an array of magnetic field sensors mounted on a headset outside the mouth or on an orthodontic brace inside. The sensor output signals are wirelessly transmitted to an ultraportable computer carried on the users clothing or wheelchair and are processed to extract the users commands. The user can then use these commands to access a desktop computer, control a power wheelchair, or interact with his or her environment. To conduct human experiments, we developed on a face shield a prototype TDS with six direct commands and tested it on six nondisabled male subjects. Laboratory-based experimental results show that the TDS response time for >90% correctly completed commands is about 1 s, yielding an information transfer rate of approximately 120 bits/min.


IEEE Transactions on Biomedical Engineering | 2012

Evaluation of a Smartphone Platform as a Wireless Interface Between Tongue Drive System and Electric-Powered Wheelchairs

Jeonghee Kim; Xueliang Huo; Julia Minocha; Jaimee Holbrook; Anne E. Laumann; Maysam Ghovanloo

Tongue drive system (TDS) is a new wireless assistive technology (AT) for the mobility impaired population. It provides users with the ability to drive powered wheelchairs (PWC) and access computers using their unconstrained tongue motion. Migration of the TDS processing unit and user interface platform from a bulky personal computer to a smartphone (iPhone) has significantly facilitated its usage by turning it into a true wireless and wearable AT. After implementation of the necessary interfacing hardware and software to allow the smartphone to act as a bridge between the TDS and PWC, the wheelchair navigation performance and associated learning was evaluated in nine able-bodied subjects in five sessions over a 5-week period. Subjects wore magnetic tongue studs over the duration of the study and drove the PWC in an obstacle course with their tongue using three different navigation strategies; namely unlatched, latched, and semiproportional. Qualitative aspects of using the TDS-iPhone-PWC interface were also evaluated via a five-point Likert scale questionnaire. Subjects showed more than 20% improvement in the overall completion time between the first and second sessions, and maintained a modest improvement of ~9% per session over the following three sessions.


international conference of the ieee engineering in medicine and biology society | 2007

A Wireless Tongue-Computer Interface Using Stereo Differential Magnetic Field Measurement

Xueliang Huo; Jia Wang; Maysam Ghovanloo

We have developed an enhanced prototype of the new Tongue Drive system (TDS), which is a noninvasive, unobtrusive wireless magnetic tongue-computer interface for people with severe disabilities. A small permanent magnet secured on the tongue using tissue adhesives, implantation, or piercing is utilized as a tracer to track tongue movements. The magnetic field variations due to the tracer movements are detected by a pair of 3-axial linear magnetic sensor modules mounted bilaterally on a headset near the users cheeks. The sensors stereo outputs are processed and translated into user control commands after being wirelessly transmitted to a portable computer. These commands have been used in human trials to access the computer by substituting mouse functions. Measurement results showed a response time of less than 1.0 s with 99.9% accuracy for 6 direct commands, yielding an information transfer rate (ITR) of -150 bits/min.


IEEE Transactions on Biomedical Circuits and Systems | 2012

Towards a Smart Experimental Arena for Long-Term Electrophysiology Experiments

Uei-Ming Jow; Mehdi Kiani; Xueliang Huo; Maysam Ghovanloo

Wireless power and data transmission have created promising prospects in biomedical research by enabling perpetual data acquisition and stimulation systems. We present a work in progress towards such a system, called the EnerCage, equipped with scalable arrays of overlapping planar spiral coils (PSC) and 3-axis magnetic sensors for focused wireless power transmission to randomly moving targets, such as small freely behaving animal subjects. The EnerCage system includes a stationary unit for 3D non-line-of-sight localization and inductive power transmission through a geometrically optimized PSC array. The localization algorithm compares the magnetic sensor outputs with a threshold to activate a PSC. All PSCs are optimized based on the worst-case misalignment, considering parasitics from the overlapping and adjacent PSCs. EnerCage also has a mobile unit attached to or implanted in the subjects body, which includes a permanent magnetic tracer for localization and back telemetry circuit for efficient closed-loop inductive power regulation. The EnerCage system is designed to enable long-term electrophysiology experiments on freely behaving small animal subjects in large experimental arenas without requiring them to carry bulky batteries. A prototype of the EnerCage system with five PSCs and five magnetic sensors achieved power transfer efficiency (PTE) of 19.6% at the worst-case horizontal misalignment of 49.1 mm (√1/3 of the PSC radius) and coupling distance of 78 mm with a mobile unit coil, 20 mm in radius. The closed-loop power management mechanism maintains the mobile unit received power at 20 mW despite misalignments, tilting, and distance variations up to a maximum operating height of 120 mm (PTE=5%).


international conference of the ieee engineering in medicine and biology society | 2009

Towards a magnetic localization system for 3-D tracking of tongue movements in speech-language therapy

Chihwen Cheng; Xueliang Huo; Maysam Ghovanloo

This paper presents a new magnetic localization system based on a compact triangular sensor setup and three different optimization algorithms, intended for tracking tongue motion in the 3-D oral space. A small permanent magnet, secured on the tongue by tissue adhesives, will be used as a tracer. The magnetic field variations due to tongue motion are detected by a 3-D magneto-inductive sensor array outside the mouth and wirelessly transmitted to a computer. The position and rotation angles of the tracer are reconstructed based on sensor outputs and magnetic dipole equation using DIRECT, Powell, and Nelder-Mead optimization algorithms. Localization accuracy and processing time of the three algorithms are compared using one data set collected in which source-sensor distance was changed from 40 to 150 mm. Powell algorithm showed the best performance with 0.92 mm accuracy in position and 0.7o in orientation. The average processing time was 43.9 ms/sample, which can satisfy real time tracking up to ~20 Hz.


European Journal of Oral Sciences | 2012

Force and complexity of tongue task training influences behavioral measures of motor learning

Mohit Kothari; Peter Svensson; Xueliang Huo; Maysam Ghovanloo; Lene Baad-Hansen

Relearning of motor skills is important in neurorehabilitation. We investigated the improvement of training success during simple tongue protrusion (two force levels) and a more complex tongue-training paradigm using the Tongue Drive System (TDS). We also compared subject-based reports of fun, pain, fatigue, and motivation between paradigms. Three randomized sessions and one control experiment were performed. Sixteen healthy subjects completed two different 1-h sessions of simple tongue training with 1 N and 3 N, respectively, and one TDS session. After 1 wk, six out of 16 subjects participated as experienced subjects with six naive subjects in a control experiment with 2 × 5-min TDS training separated by a 30-min rest. Performance improved during training in all sessions. The mean ± SEM relative increase in success was 80 ± 12% (1 N), 52 ± 11% (3 N), and 285 ± 45% (TDS). In the control experiment the experienced group performed equal to the last 5 min of their first TDS session and neither group improved during rest. Training with the TDS was rated as more fun, less painful, less fatiguing, and more motivating compared with simple tongue training. In conclusion, force level and complexity of tongue training influences behavioral aspects of tongue motor learning.


international conference of the ieee engineering in medicine and biology society | 2011

Command detection and classification in tongue drive assistive technology

Elnaz Banan Sadeghian; Xueliang Huo; Maysam Ghovanloo

Tongue Drive System (TDS) is a new assistive technology that enables individuals with severe disabilities such as those with spinal cord injury (SCI) to regain environmental control using their tongue motion. We have developed a new sensor signal processing (SSP) algorithm which uses four 3-axial magneto-resistive sensor outputs to accurately detect and classify between seven different user-control commands in stationary as well as mobile conditions. The new algorithm employs a two-stage classification method with a combination of 9 classifiers to discriminate between 4 commands on the left or right side of the oral cavity (one neutral command shared on both sides). Evaluation of the new SSP algorithm on five able-bodied subjects resulted in true positive rates in the range of 70–99% with corresponding false positive rates in the range of 5–7%, showing a notable improvement in the resulted true-false (TF) differences when compared to the previous algorithm.

Collaboration


Dive into the Xueliang Huo's collaboration.

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Maysam Ghovanloo

Georgia Institute of Technology

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Jia Wang

North Carolina State University

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Jeonghee Kim

Georgia Institute of Technology

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Behnaz Yousefi

Georgia Institute of Technology

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Hangue Park

Georgia Institute of Technology

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Chihwen Cheng

Georgia Institute of Technology

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Mehdi Kiani

Pennsylvania State University

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Minoru Shinohara

Georgia Institute of Technology

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Uei-Ming Jow

Georgia Institute of Technology

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Ashley N. Johnson

Georgia Institute of Technology

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