Quantitative assessment of magnetic sensor signal processing algorithms in a wireless tongue-operated assistive technology (original) (raw)
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The "Tongue Drive" system is a tongue-operated assistive technology developed for people with severe disability to control their environment. The tongue is considered an excellent appendage in severely disabled people for operating an assistive device. Tongue Drive consists of an array of Hall-effect magnetic sensors mounted on a dental retainer on the outer side of the teeth to measure the magnetic field generated by a small permanent magnet secured on the tongue. The sensor signals are transmitted across a wireless link and processed to control the movements of a cursor on a computer screen or to operate a powered wheelchair, a phone, or other
We have got evolved a Wi-Fi, noncontact, unobtrusive, tongue-operated assistive technology called the Tongue controlled device. The TCS affords humans with paralysis, Quadriplegic diseases, minimum or no motion capability of their higher limbs, lower limbs with an efficacious tool for computer access and environmental control. A small permanent magnet secured at the tongue by using implantation, piercing, or tissue adhesives is used as a tracer, the motion of that is detected by way of an array of magnetic sensors established on a headset outside the mouth or on an orthodontic brace interior sent wirelessly to microcontroller by using wireless transceiver. The microcontroller?s outputs signals are wirelessly transmitted to an ultraportable personal digital assistant compact computer carried at the user?s clothing or wheelchair and are processed to extract the person?s instructions. The consumer can then use those commands to get right of entry to a personal digital assistant computer, manage a power wheelchair, prosthetics and home appliances or have interaction with his or her surroundings. Most adult humans have 32 teeth, and several commands can be linked to a combination of teeth or tongue gestures, making the possibilities countless.
Development of a magnetic control system for an electric wheelchair using the tongue
CONIELECOMP 2013, 23rd International Conference on Electronics, Communications and Computing, 2013
One of the most important problems for patients with severe disability is the control systems for electric wheelchairs, because they cannot use common systems as the joystick or keypads. This paper proposes the development of a magnetic control system (MCS) to handle a power wheelchair as an alternative control system for patients with spinal cord injuries, as quadriplegics. The proposed system uses the movements of the patient's tongue to operate the power wheelchair, and also includes the development of new communication protocols for the wheelchair through a microcontroller, bridge H and magnetic control.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2015
Tongue-Drive System (TDS) is a wireless and wearable assistive technology that enables people with severe disabilities to control their computers, wheelchairs, and smartphones using voluntary tongue motion. To evaluate the efficacy of the TDS, several experiments were conducted, in which the performance of 9 able-bodied (AB) participants using a mouse, a keypad, and the TDS, as well as a cohort of 11 participants with tetraplegia (TP) using the TDS, were observed and compared. Experiments included the Fitts' law tapping, wheelchair driving, phone-dialing, and weight-shifting tasks over five to six consecutive sessions. All participants received a tongue piercing, wore a magnetic tongue stud, and completed the trials as evaluable participants. Although AB participants were already familiar with the keypad, throughputs of their tapping tasks using the keypad were only 1.4 times better than those using the TDS. The completion times of wheelchair driving task using the TDS for AB an...
The Tongue Enables Computer and Wheelchair Control for People with Spinal Cord Injury
Science Translational Medicine, 2013
wheelchairs more quickly but just as accurately as when using traditional assistive technologies. inherent human tongue abilities enabled individuals with severe motor impairments to access computers and drive tetraplegia were based on widely accepted measures of speed and accuracy. A combination of TDS flexibility and keypad for the able-bodied groups and a sip-and-puff device (a traditional assistive technology) for those with tongue barbell. Participants used the TDS during five to six testing sessions. Comparisons between the TDS and the injury. Two groups of able-bodied participants and a group of patients with spinal cord injury received a magnetic report on a new study of TDS efficacy in patients with severe spinal cord et al. using voluntary tongue motion. Kim wearable assistive technology that allows individuals with severe motor impairments to access their environments cord injury, to access computers and to drive wheelchairs. The Tongue Drive System (TDS) is a wireless and Voluntary tongue motion may help people with limited upper limb mobility, such as those with high-level spinal
Tongue motion-based operation of support system for paralyzed patients
IEEE ... International Conference on Rehabilitation Robotics : [proceedings], 2011
This paper proposes a new control device based on tongue motions to control and communicate with a support system for a paralyzed patient. We focus on the tongue movements as one of output of human intentions, because the tongue has one of capable parts for the motions and it does not affected by spinal cord damage. The tongue motion is easily observed from his/her mouse inside, it is, however, hard to observe them from outside. We therefore propose a detection algorithm of the tongue motions by using multiple array electrodes attached on a skin surface around a neck. The tongue motions are detected based on the center position of distributions of muscle elctric potentials that are measured by the electrodes. We investigated the precisions of the detection algorithm through some experiments and then confirmed that almost accucracy of discrimination is more than 70 as for six tongue movements such as left, right, forward, back, up, and down. Additionally, we evaluated operability of ...
Tongue Operated Wheelchair for Physically Disabled People
The " Tongue Dive System " is a tongue operated Assistive Technology (AT) developed for people with severe disability to control their environment. Tongue Drive consists of an array of Hall Effect magnetic sensors mounted on a mouthpiece to measure the magnetic field generated by a small permanent magnet secured on the tongue. The sensor signals are transmitted across a wireless link and processed to control the powered wheelchair. In past a lot of Assistive Technologies have been designed but each one of them had certain demerits. The tongue is considered an excellent appendage in severely disabled people for operating an Assistive device. This paper presents an efficient, low cost solution to all the issues encountered in previous AT's. Detailed analysis of various design processes has also been discussed. Complete system proposed in this paper has been designed around PIC microcontroller and a RF module. The design has been tested and result achieved confirms the design approach illustrated. Keywords— Assistive Technologies (AT), Tongue Drive System (TDS), magnetic field sensors, RF module.
2010
Tongue movement ear pressure (TMEP) signals have been used to generate controlling commands in assistive human machine interfaces aimed at people with disabilities. The objective of this study is to classify the controlled movement related signals of an intended action from internally occurring physiological signals which can interfere with the inter-movement classification. TMEP signals were collected, corresponding to six types of controlled movements and activity relating to the potentially interfering environment including when a subject spoke, coughed or drank. The signal processing algorithm involved TMEP signal detection, segmentation, feature extraction and selection, and classification. The features of the segmented TMEP signals were extracted using the wavelet packet transform (WPT). A multi-layer neural network was then designed and tested based on statistical properties of the WPT coefficients. The average classification performance for discriminating interference and controlled movement related TMEP signal achieved 97.05%. The classification of TMEP signals based on the WPT is robust and the interferences to the controlling commands of TMEP signals in assistive human machine interface can be significantly reduced using the multi-layer neural network when considered in this challenging environment.
Development of an Assistive Tongue Drive System for Disabled Individuals
PRICAI 2019: Trends in Artificial Intelligence, 2019
The authors propose a preliminary design and development of an assistive technology, which addresses the problem for people with disabilities to communicate with learning environments. An assistive Tongue Drive System (TDS) has been proposed which permits the end user to make use of their tongue for communication. In this paper, the hardware/software co-design of the proposed TDS system is presented and discussed in detail.