Journal articles: 'Hands-free control'

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Antony, Pooja, and Sunny Joseph. "Hands free computer control." International Journal on Cybernetics & Informatics 5, no. 2 (2016): 329–38. http://dx.doi.org/10.5121/ijci.2016.5235.

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Breining, Christina. "Control of a hands-free telephone set." Signal Processing 61, no. 2 (1997): 131–43. http://dx.doi.org/10.1016/s0165-1684(97)00098-4.

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Flanagan, J. L., D. A. Berkley, and K. L. Shipley. "Hands‐free voice control of teleconferencing systems." Journal of the Acoustical Society of America 88, S1 (1990): S115. http://dx.doi.org/10.1121/1.2028530.

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Calhoun, Gloria, Scott Grigsby, and Nick LaDue. "Integrated, Hands-Free Control Suite for Wearable Computers." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 45, no. 8 (2001): 750. http://dx.doi.org/10.1177/154193120104500805.

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Nam, Miyoung, Minhaz Uddin Ahmed, Yan Shen, and Phill Kyu Rhee. "Mouth tracking for hands-free robot control systems." International Journal of Control, Automation and Systems 12, no. 3 (2014): 628–36. http://dx.doi.org/10.1007/s12555-012-0473-7.

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De Laurentis, Kathryn J., and Matthew Wills. "DESIGN OF AN ELECTROMECHANICAL HANDS-FREE CONTROL USER INTERFACE." Technology & Innovation 14, no. 3 (2012): 341–49. http://dx.doi.org/10.3727/194982412x13500042169135.

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ZHANG, Yi, Xiang ZHU, Ling-ling DAI, and Yuan LUO. "Forehead sEMG signal based HMI for hands-free control." Journal of China Universities of Posts and Telecommunications 21, no. 3 (2014): 98–105. http://dx.doi.org/10.1016/s1005-8885(14)60306-x.

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Simpson, T., C. Broughton, M. J. A. Gauthier, and A. Prochazka. "Tooth-Click Control of a Hands-Free Computer Interface." IEEE Transactions on Biomedical Engineering 55, no. 8 (2008): 2050–56. http://dx.doi.org/10.1109/tbme.2008.921161.

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Ashok, Sharmila. "High-level hands-free control of wheelchair – a review." Journal of Medical Engineering & Technology 41, no. 1 (2016): 46–64. http://dx.doi.org/10.1080/03091902.2016.1210685.

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Hänsler, Eberhard, and Gerhard Uwe Schmidt. "Hands-free telephones – joint control of echo cancellation and postfiltering." Signal Processing 80, no. 11 (2000): 2295–305. http://dx.doi.org/10.1016/s0165-1684(00)00118-3.

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Przepiorka, Aneta M., Agata P. Blachnio, Francesc Prat, and Mark J. M. Sullman. "Do beliefs differ between frequent and infrequent hand-held and hands-free phone users while driving? A Polish study." Journal of Public Health 28, no. 6 (2019): 665–73. http://dx.doi.org/10.1007/s10389-019-01087-z.

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Abstract Aim Although it is currently legal in Poland to use a hands-free mobile phone while driving, research suggests that it is not significantly safer than using a hand-held mobile phone. The present study used the theory of planned behaviour (TPB) to examine the relationships that three types of beliefs (behavioural, normative and control beliefs) have with the frequency of drivers’ hands-free and hand-held mobile phone use. Subjects and methods The sample comprised 298 Polish drivers (35% females) aged between 18 and 40 years old (mean age: 21.05 years, standard deviation = 2.38). Results Two multivariate analyses of variance (MANOVAs) were conducted to investigate the differences between the two groups (hand-held and hands-free) of frequent and infrequent mobile phone users, with regard to their behavioural, normative and control beliefs. Significant differences were found in all of the control beliefs for both hand-held and hands-free mobile phone users. Similar normative differences were identified for both hands-free and hand-held mobile phone use, but while three behavioural beliefs differed significantly for hands-free use, no behavioural beliefs were significant for hand-held mobile phone use. Finally, composite measures of the behavioural and control beliefs were predictive of being a frequent hand-held mobile phone user, but none of the three beliefs were predictive of being a frequent hands-free user. Conclusions These results demonstrate potential directions for behavioural change aimed at reducing or preventing the use of mobile phones while driving.

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Gustafsson, S., R. Martin, and P. Vary. "Combined acoustic echo control and noise reduction for hands-free telephony." Signal Processing 64, no. 1 (1998): 21–32. http://dx.doi.org/10.1016/s0165-1684(97)00173-4.

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Treffner, Paul J., and Rod Barrett. "Hands-free mobile phone speech while driving degrades coordination and control." Transportation Research Part F: Traffic Psychology and Behaviour 7, no. 4-5 (2004): 229–46. http://dx.doi.org/10.1016/j.trf.2004.09.002.

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Craig, Ashley, Yvonne Tran, Daniel Craig, and Ranjit Thuraisingham. "Improving correct switching rates in a ‘hands-free’ environmental control system." Journal of Neural Engineering 2, no. 4 (2005): L9—L13. http://dx.doi.org/10.1088/1741-2560/2/4/l01.

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Jia, Pei, Huosheng H. Hu, Tao Lu, and Kui Yuan. "Head gesture recognition for hands‐free control of an intelligent wheelchair." Industrial Robot: An International Journal 34, no. 1 (2007): 60–68. http://dx.doi.org/10.1108/01439910710718469.

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Kubert, Heather L., Cara E. Stepp, Steven M. Zeitels, et al. "Electromyographic control of a hands-free electrolarynx using neck strap muscles." Journal of Communication Disorders 42, no. 3 (2009): 211–25. http://dx.doi.org/10.1016/j.jcomdis.2008.12.002.

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Riman, Chadi Fouad. "Implementation of a low cost hands free wheelchair controller." Independent Journal of Management & Production 11, no. 3 (2020): 880. http://dx.doi.org/10.14807/ijmp.v11i3.1056.

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The aim of this project is to ease mobility for people with upper and lower disability in order to live independently. This paper presents the design steps and specification to a low cost hands free eye-blink controller to control and electric wheelchair. Nowadays, people are using joystick to control motorized wheelchair. The eye-blink controller technology gives an alternative solution to mobility problem; especially for the people who are quadriplegics. By interfacing eye-blink controller, the directions of the wheelchair are controlled. This report will provide the designing step, related solutions, and component details and specifications.

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McIsaac, Paul, Ashley Craig, Yvonne Tran, and Peter Boord. "The mind switch environmental control system: Remote hands free control for the severely disabled." Technology and Disability 14, no. 1 (2002): 15–20. http://dx.doi.org/10.3233/tad-2002-14103.

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McMillan, Grant, Gloria Calhoun, Barbara L. Masquelier, et al. "Comparison of Hands-Free versus Conventional Wearable Computer Control for Maintenance Applications." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 43, no. 19 (1999): 1036–40. http://dx.doi.org/10.1177/154193129904301905.

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Ju, Jin, Yunhee Shin, and Eun Kim. "Vision based interface system for hands free control of an intelligent wheelchair." Journal of NeuroEngineering and Rehabilitation 6, no. 1 (2009): 33. http://dx.doi.org/10.1186/1743-0003-6-33.

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Vaidyanathan, Ravi, Beomsu Chung, Lalit Gupta, Hyunseok Kook, Srinivas Kota, and James D. West. "Tongue-Movement Communication and Control Concept for Hands-Free Human–Machine Interfaces." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 37, no. 4 (2007): 533–46. http://dx.doi.org/10.1109/tsmca.2007.897919.

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Hendrick, Joy L., and Jamie R. Switzer. "Hands-Free versus Hand-Held Cell Phone Conversation on a Braking Response by Young Drivers." Perceptual and Motor Skills 105, no. 2 (2007): 514–22. http://dx.doi.org/10.2466/pms.105.2.514-522.

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As some states allow motorists to use hands-free cell phones only while driving, this study was done to examine some braking responses to see if conversing on these two types of cell phones affects quick responding. College-age drivers ( n = 25) completed reaction time trials in go/no-go situations under three conditions: control (no cell phone or conversation), and conversing on hands-free and hand-held cell phones. Their task involved moving the right foot from one pedal to another as quickly as possible in response to a visual signal in a lab setting. Significantly slower reaction times, movement times, and total response times were found for both cell phone conditions than for the control but no differences between hands-free and hand-held phone conditions. These findings provide additional support that talking on cell phones, regardless if it is hands-free or hand-held, reduces speed of information processing.

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Hänsler, Eberhard. "The hands-free telephone problem- An annotated bibliography." Signal Processing 27, no. 3 (1992): 259–71. http://dx.doi.org/10.1016/0165-1684(92)90074-7.

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Jones, Keith S., Matthew S. Middendorf, Gloria Calhoun, and Grant McMillan. "Evaluation of an Electroencephalographic-Based Control Device." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 5 (1998): 491–95. http://dx.doi.org/10.1177/154193129804200510.

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Electroencephalographic (EEG)-based control devices are one of several emerging technologies that will provide operators with a variety of new hands-free control options. In general, EEG-based control translates brain electrical activity into a control signal. The system evaluated in this study uses the steady-state visual evoked response for system control. The luminance of selectable items on a computer display was modulated at different frequencies. The operator's choice between these items was identified by detecting which frequency pattern was dominant in the visual evoked brain activity. One objective of this study was to characterize the performance of this human-machine system. In addition, two candidate control frequencies were evaluated. The results are encouraging. Participants were able to use this form of EEG-based control and performance was stable. Participants averaged over 90 percent correct selections. Future development will focus on increasing the speed and accuracy with which this novel hands-free controller can be utilized.

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WEI, LAI, HUOSHENG HU, and YI ZHANG. "FUSING EMG AND VISUAL DATA FOR HANDS-FREE CONTROL OF AN INTELLIGENT WHEELCHAIR." International Journal of Humanoid Robotics 08, no. 04 (2011): 707–24. http://dx.doi.org/10.1142/s0219843611002629.

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This paper presents a novel hands-free human machine interface (HMI) for elderly and disabled people by fusing multi-modality bioinformation abstracted from forehead electromyography (EMG) signals and facial images of a user. The interface allows users to drive an electric-powered wheelchair using face movements such as jaw clenching and eye blinking. An indoor environment is set up for evaluating the application of this interface. Five intact subjects participated in the experiment to drive the intelligent wheelchair following designated routes and avoiding obstacles. Comparisons are made between this new interface and the traditional joystick control in terms of the easiness of control, travel time, wheelchair trajectory, and error command. The experimental results show that the proposed new control method is comparable to the joystick control method and can be used as a hands-free controller for the intelligent wheelchair.

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Wei, Lai, and osheng Hu. "A hybrid human-machine interface for hands-free control of an intelligent wheelchair." International Journal of Mechatronics and Automation 1, no. 2 (2011): 97. http://dx.doi.org/10.1504/ijma.2011.040040.

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Enzner, Gerald, and Peter Vary. "Frequency-domain adaptive Kalman filter for acoustic echo control in hands-free telephones." Signal Processing 86, no. 6 (2006): 1140–56. http://dx.doi.org/10.1016/j.sigpro.2005.09.013.

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Craig, Ashley, Perez Moses, Yvonne Tran, Paul McIsaac, and Les Kirkup. "The effectiveness of a hands-free environmental control system for the profoundly disabled." Archives of Physical Medicine and Rehabilitation 83, no. 10 (2002): 1455–58. http://dx.doi.org/10.1053/apmr.2002.34624.

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Liu, Yizhi, Mahmoud Habibnezhad, and Houtan Jebelli. "Brain-computer interface for hands-free teleoperation of construction robots." Automation in Construction 123 (March 2021): 103523. http://dx.doi.org/10.1016/j.autcon.2020.103523.

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Liu, Yizhi, Mahmoud Habibnezhad, and Houtan Jebelli. "Brain-computer interface for hands-free teleoperation of construction robots." Automation in Construction 123 (March 2021): 103523. http://dx.doi.org/10.1016/j.autcon.2020.103523.

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Harib, Omar, Ayonga Hereid, Ayush Agrawal, et al. "Feedback Control of an Exoskeleton for Paraplegics: Toward Robustly Stable, Hands-Free Dynamic Walking." IEEE Control Systems 38, no. 6 (2018): 61–87. http://dx.doi.org/10.1109/mcs.2018.2866604.

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Rechy-Ramirez, Ericka Janet, and Huosheng Hu. "A Flexible Bio-Signal Based HMI for Hands-Free Control of an Electric Powered Wheelchair." International Journal of Artificial Life Research 4, no. 1 (2014): 59–76. http://dx.doi.org/10.4018/ijalr.2014010105.

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This paper presents a bio-signal based human machine interface (HMI) for hands-free control of an electric powered wheelchair. In this novel HMI, an Emotive EPOC sensor is deployed to detect facial expressions and head movements of users, which are then recognized and converted to four uni-modal control modes and two bi-modal control modes to operate the wheelchair. Nine facial expressions and up-down head movements have been defined and tested, so that users can select some of these facial expressions and head movements to form the six control commands. The proposed HMI is user-friendly and allows users to select one of available control modes according to their comfort. Experiments are conducted to show the feasibility and performance of the proposed HMI.

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Rambani, Rohit, Muhammad Saleem Shahid, and Surinder Goyal. "The use of a hands-free crutch in patients with musculoskeletal injuries: randomized control trial." International Journal of Rehabilitation Research 30, no. 4 (2007): 357–59. http://dx.doi.org/10.1097/mrr.0b013e3282f1fecf.

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Stalljann, Sarah, Lukas Wöhle, Jeroen Schäfer, and Marion Gebhard. "Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots." Sensors 20, no. 24 (2020): 7162. http://dx.doi.org/10.3390/s20247162.

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Assistive robots support people with limited mobility in their everyday life activities and work. However, most of the assistive systems and technologies for supporting eating and drinking require a residual mobility in arms or hands. For people without residual mobility, different hands-free controls have been developed. For hands-free control, the combination of different modalities can lead to great advantages and improved control. The novelty of this work is a new concept to control a robot using a combination of head and eye motions. The control unit is a mobile, compact and low-cost multimodal sensor system. A Magnetic Angular Rate Gravity (MARG)-sensor is used to detect head motion and an eye tracker enables the system to capture the user’s gaze. To analyze the performance of the two modalities, an experimental evaluation with ten able-bodied subjects and one subject with tetraplegia was performed. To assess discrete control (event-based control), a button activation task was performed. To assess two-dimensional continuous cursor control, a Fitts’s Law task was performed. The usability study was related to a use-case scenario with a collaborative robot assisting a drinking action. The results of the able-bodied subjects show no significant difference between eye motions and head motions for the activation time of the buttons and the throughput, while, using the eye tracker in the Fitts’s Law task, the error rate was significantly higher. The subject with tetraplegia showed slightly better performance for button activation when using the eye tracker. In the use-case, all subjects were able to use the control unit successfully to support the drinking action. Due to the limited head motion of the subject with tetraplegia, button activation with the eye tracker was slightly faster than with the MARG-sensor. A further study with more subjects with tetraplegia is planned, in order to verify these results.

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Mengelkoch, Larry J., M. Jason Highsmith, and Merry L. Morris. "Comparison of the Metabolic Demands of Dance Performance Using Three Mobility Devices for a Dancer with Spinal Cord Injury and an Able-Bodied Dancer." Medical Problems of Performing Artists 29, no. 3 (2014): 163–67. http://dx.doi.org/10.21091/mppa.2014.3033.

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Mobility devices for dancers with physical mobility impairments have previously been limited to traditional manual or power wheelchairs. The hands-free torso-controlled mobility chair is a unique powered mobility device which allows greater freedom and expression of movement of the trunk and upper extremities. This study compared differences in energy expenditure during a standardized dance activity using three mobility devices: the hands-free torso-controlled mobility chair, a manual sports wheelchair with hand-arm control, and an electric power chair with hand-joystick control. An experienced dancer with C7 incomplete spinal cord injury (SCI) and an experienced able-bodied dancer were recruited for testing. Three measurement trials were obtained for each chair per subject. Oxygen uptake (VO2) and heart rate (HR) were measured continuously during the dance activity. Immediately following the dance activity, subjects rated perceived exertion. Significant differences (p≤0.05) and similar linear patterns in VO2 and HR responses were observed between chairs for both dancers. When the hands-free mobility chair was used, the dance activity required a moderate level of energy expenditure compared to the manual sports chair or electric power chair for both dancers. Higher ratings of perceived exertion were observed in the manual chair compared to the other chairs for the dancer with SCI, but were similar between chairs for the able-bodied dancer. These results suggest that for a dancer with high-level SCI, the hands-free torso-controlled mobility chair may offer improved freedom and expressive movement possibilities and is an energy-efficient mobility device.

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Wang, Weitian, Rui Li, Longxiang Guo, Z. Max Diekel, and Yunyi Jia. "Hands-Free Maneuvers of Robotic Vehicles via Human Intentions Understanding Using Wearable Sensing." Journal of Robotics 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4546094.

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Intelligent robotic vehicles are more and more fully automated, without steering wheels, gas/brake pedals, or gearshifts. However, allowing the human driver to step in and maneuver the robotic vehicle under specific driving requirements is a necessary issue that should be considered. To this end, we propose a wearable-sensing-based hands-free maneuver intention understanding approach to assist the human to naturally operate the robotic vehicle without physical contact. The human intentions are interpreted and modeled based on the fuzzy control using the forearm postures and muscle activities information detected by a wearable sensory system, which incorporates electromyography (EMG) sensors and inertial measurement unit (IMU). Based on the maneuver intention understanding model, the human can flexibly, intuitively, and conveniently control diverse vehicle maneuvers only using his intention expressions. This approach was implemented by a series of experiments in the practical situations on a lab-based 1/10 robotic vehicle research platform. Experimental results and evaluations demonstrated that, by taking advantage of the nonphysical contact and natural handleability of this approach, the robotic vehicle was successfully and effectively maneuvered to finish the driving tasks with considerable accuracy and robustness in human-robotic vehicle interaction.

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FELZER, TORSTEN, BRUNO STRAH, RAINER NORDMANN, and SEBASTIAN MIGLIETTA. "ALTERNATIVE WHEELCHAIR CONTROL INVOLVING INTENTIONAL MUSCLE CONTRACTIONS." International Journal on Artificial Intelligence Tools 18, no. 03 (2009): 439–65. http://dx.doi.org/10.1142/s0218213009000226.

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This paper deals with various ways of controlling an electrically powered wheelchair beyond the usual method involving a manual joystick. The main focus is on the newest version of HaWCoS – the "HAnds-free Wheelchair COntrol System" – allowing persons with severe disabilities to reliably navigate a power wheelchair without the need to use the hands. All the user has to do is to produce a sequence of tiny contractions of an arbitrary muscle, e.g., by raising the eyebrow. The working prototype of the system, which has been realized as a stand-alone device, is introduced in detail, together with a closer look at the muscle-based control principle and a brief description of a PC-based simulator. The advantages and the drawbacks of the system are discussed on the basis of a rather simple real-life experiment. The paper also elaborates on possible approaches to improve HaWCoS (by reducing or eliminating its problems) in the future. In addition to a quick software solution and a controller implementation involving supplemental sensory information, planned "improvements" include the development of an "intelligent wheelchair" with HaWCoS being some sort of a prototype for the User Interface component.

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Fagernes, Mette, Egil Lingaas, and Per Bjark. "Impact of a Single Plain Finger Ring on the Bacterial Load on the Hands of Healthcare Workers." Infection Control & Hospital Epidemiology 28, no. 10 (2007): 1191–95. http://dx.doi.org/10.1086/520739.

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Objective.To investigate the impact of a single plain finger ring on the number and types of bacteria on the hands of healthcare workers (HCWs).Design.Nonequivalent control groups, posttest only (preexperimental).Methods.A total of 121 HCWs wearing 1 plain ring and 113 HCWs wearing no rings had both hands sampled by the “glove juice” technique. Quantitative culture of the samples was performed and microorganisms were identified.Setting.Two Norwegian acute care hospitals.Participants.A total of 234 HCWs who had physical contact with patients.Results.Total bacterial counts did not differ when hands with rings and hands without rings were compared, both according to nonpaired analysis (which compared the ring-bearing hands of ring-wearing HCWs to the hands of HCWs who did not wear rings [P= .661]) and according to paired analysis (which compared the ring-bearing and ring-free hands of ring-wearing HCWs [P= .071]).Staphylococcus aureuswas recovered from 18.6% of the hands sampled, belonging to 26.9% of the HCWs, but neither paired nor nonpaired analysis showed any association with ring wearing. Gram-negative bacteria were recovered from 20.3% of the hands sampled, belonging to 28.6% of the HCWs. Ring-wearing HCWs were significantly more likely to be carriers of Enterobacteriaceae (P= .006), but paired comparison of the ring-bearing and ring-free hands of these HCWs did not show significant differences (P= .180). Carriage of nonfermentative gram-negative rods did not differ between the 2 groups, by either paired or nonpaired analysis.Conclusions.Wearing a single plain finger ring did not increase the total bacterial load on the hands, nor was it associated with an increased rate of carriage ofS. aureusor nonfermentative gram-negative rods. However, plain rings were associated with an increased rate of Enterobacteriaceae carriage.

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LUDAĞLI, Muhtar Çağkan, and Cengiz ACARTÜRK. "User interaction in hands-free gaming: a comparative study of gaze-voice and touchscreen interface control." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, no. 4 (2018): 1967–76. http://dx.doi.org/10.3906/elk-1710-128.

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Trejos, Ana Luisa, Karen Siroen, Christopher D. W. Ward, et al. "Randomized control trial for evaluation of a hands-free pointer for surgical instruction during laparoscopic cholecystectomy." Surgical Endoscopy 29, no. 12 (2015): 3655–65. http://dx.doi.org/10.1007/s00464-015-4122-0.

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Gierlich, H. W. "A measurement technique to determine the transfer characteristics of hands-free telephones." Signal Processing 27, no. 3 (1992): 281–300. http://dx.doi.org/10.1016/0165-1684(92)90076-9.

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Kancler, David E., Megan E. Gorman, and Allen R. Revels. "The Use of Voice and Head-Tracking for Hands-Free Human-Computer Interaction." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 23 (2002): 1915–19. http://dx.doi.org/10.1177/154193120204602310.

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This Practitioner Paper discusses the second in a series of studies examining the Voice Head Integrated Control (VHIC) suite, which combines use of voice commands and a head-tracking device as an alternative to the mouse and keyboard. This VHIC system is currently being investigated as a hands-free interface for accessing digitized aircraft technical manuals. The present study was conducted to validate the voice command vocabulary and provide an initial evaluation of the VHIC hardware. Aircraft maintainers from the 445th C-141 Air Force Reserve Unit served as subjects. The current study made use of the fully functioning VHIC system, complete with head-tracking and voice recognition capabilities. User strategies followed on-screen interface characteristics and the user's experience level with computers. Several error categories were tracked and subjective feedback was collected. A series of recommendations are presented which address the strategic application of the VHIC system in an aircraft maintenance environment.

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Mohammed, Jafar Ramadhan. "An efficient method for combining adaptive echo and noise canceller in hands-free systems." International Journal of Adaptive Control and Signal Processing 23, no. 3 (2009): 278–92. http://dx.doi.org/10.1002/acs.1047.

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Craig, Ashley, Paul McIsaac, Yvonne Tran, Les Kirkup, and Andrew Searle. "Alpha wave reactivity following eye closure: a potential method of remote hands free control for the disabled." Technology and Disability 10, no. 3 (1999): 187–94. http://dx.doi.org/10.3233/tad-1999-10308.

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Tran, Yvonne, Ashley Craig, Ranjit Thuraisingham, Peter Boord, and Nirupama Wijesuriya. "Improved EEG based input concept for hands free control of assistive devices for persons with severe disability." Technology and Disability 20, no. 4 (2009): 295–301. http://dx.doi.org/10.3233/tad-2008-20404.

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Bellan, Valeria, Felicity A. Braithwaite, Erica M. Wilkinson, Tasha R. Stanton, and G. Lorimer Moseley. "Where is my arm? Investigating the link between complex regional pain syndrome and poor localisation of the affected limb." PeerJ 9 (August 20, 2021): e11882. http://dx.doi.org/10.7717/peerj.11882.

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Background Anecdotally, people living with Complex Regional Pain Syndrome (CRPS) often report difficulties in localising their own affected limb when it is out of view. Experimental attempts to investigate this report have used explicit tasks and yielded varied results. Methods Here we used a limb localisation task that interrogates implicit mechanisms because we first induce a compelling illusion called the Disappearing Hand Trick (DHT). In the DHT, participants judge their hands to be close together when, in fact, they are far apart. Sixteen volunteers with unilateral upper limb CRPS (mean age 39 ± 12 years, four males), 15 volunteers with non-CRPS persistent hand pain (‘pain controls’; mean age 58 ± 13 years, two males) and 29 pain-free volunteers (‘pain-free controls’; mean age 36 ± 19 years, 10 males) performed a hand-localisation task after each of three conditions: the DHT illusion and two control conditions in which no illusion was performed. The conditions were repeated twice (one for each hand). We hypothesised that (1) participants with CRPS would perform worse at hand self-localisation than both the control samples; (2) participants with non-CRPS persistent hand pain would perform worse than pain-free controls; (3) participants in both persistent pain groups would perform worse with their affected hand than with their unaffected hand. Results Our first two hypotheses were not supported. Our third hypothesis was supported —when visually and proprioceptively encoded positions of the hands were incongruent (i.e. after the DHT), relocalisation performance was worse with the affected hand than it was with the unaffected hand. The similar results in hand localisation in the control and pain groups might suggest that, when implicit processes are required, people with CRPS’ ability to localise their limb is preserved.

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Ha, Manh-Tuan. "An Easy-to-use and Economic Experimental Apparatus for Motion Control Education." Journal of Education and Vocational Research 4, no. 2 (2013): 24–29. http://dx.doi.org/10.22610/jevr.v4i2.97.

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Motion control education in engineering requires hands-on experiments to catch the concept of feedback control, but experimental apparatus for motion control experiments is expensive, complex in mechanism and is hard to use it in general. In this paper, we develop an easy-to-use and economic experimental apparatus for motion control education using an open-source free operation system LINUX and a free real-time kernel RTAI. The developed apparatus is reliable in mechanical structure, and fast enough to realize 100 microsecond sampling time for real-time control purpose, and so it can test conventional PID control logics, various input shaping control logics and advanced motion control logics with cheap prices. The validity of the developed motion control apparatus is demonstrated by testing P, PD control logics and ZV input shapers experimentally.

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Tamura, Hiroki, Takayuki Murata, Yuki Yamashita, Koichi Tanno, and Yasufumi Fuse. "Development of the electric wheelchair hands-free semi-automatic control system using the surface-electromyogram of facial muscles." Artificial Life and Robotics 17, no. 2 (2012): 300–305. http://dx.doi.org/10.1007/s10015-012-0060-2.

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Zhang, Bao Guo. "Remote Control Deep Well Rescue Machine." Advanced Materials Research 422 (December 2011): 61–64. http://dx.doi.org/10.4028/www.scientific.net/amr.422.61.

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In real life, deep well trapping accidents of people frequently occur，but no appropriate and effective rescue equipment is available. After site investigation and analysis, we hereby design a sort of remote control deep well rescue machine, in which the components are free to remove，the length can be freely adjusted according to the depth of wells. The bottom of the device is provided with mechanical hands and chassis with airbags. By controlling the robot with remote control technology, the device solves the problem that the rescue workers can not perform direct rescue on the victims due to the small width of the well mouth. A camera is installed at the lower part of the device, which enables the rescuers to accurately observe the underground situation, thereby solving the problem of being unable to accurately locate the trapped people with human eyes due to the smallness of the well mouth and insufficient light.

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Buchner, Herbert, Jacob Benesty, and Walter Kellermann. "Generalized multichannel frequency-domain adaptive filtering: efficient realization and application to hands-free speech communication." Signal Processing 85, no. 3 (2005): 549–70. http://dx.doi.org/10.1016/j.sigpro.2004.07.029.

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Journal articles on the topic 'Hands-free control'

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