Статті в журналах: "Hands-free system"

1

Suhami, Avraham, and Shmuel Suhami. "Two‐line, hands‐free telephone system." Journal of the Acoustical Society of America 95, no. 3 (March 1994): 1702. http://dx.doi.org/10.1121/1.408532.

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2

Shang, Qing Hua, and Ping Liu. "Bluetooth Hands Free System for Fixed Telephone Research." Applied Mechanics and Materials 198-199 (September 2012): 1603–8. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1603.

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Wireless technology has walked into the People's Daily life, Bluetooth technology comes to the fore in so many wireless technologies with its low power consumption, low cost and other characteristics. Bluetooth technology is used widely, we can see it in mobile phones or in our cars, it seems that Bluetooth technology has penetrated into every aspect of our lives. Even so, the combination of Bluetooth technology and fixed telephone still has a very big development space. If the stability of the fixed telephone combined with the flexible of Bluetooth technology, it will give the life of people a lot of convenience. This paper will introduces the Bluetooth hands free system for fixed telephone, it is such a product that it will make Bluetooth technology and common fixed phone combined, and make it a reality that people can use common Bluetooth headset to answer or call a fixed telephone.

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3

Abdul-Niby, M., M. Alameen, O. Irscheid, M. Baidoun, and H. Mourtada. "A Hands-Free Obstacle Detection and Avoidance System." Engineering, Technology & Applied Science Research 5, no. 3 (June 21, 2015): 801–4. http://dx.doi.org/10.48084/etasr.562.

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In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.

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4

Hildebrand, David G. C., Daniel P. Knudsen, Gary W. Hesse, and James R. Stellar. "A flexible system for hands-free intracranial microinjection." Journal of Neuroscience Methods 185, no. 1 (December 2009): 62–65. http://dx.doi.org/10.1016/j.jneumeth.2009.09.011.

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5

Khare, Rahul, Rebecca Bascom, and William E. Higgins. "Hands-Free System for Bronchoscopy Planning and Guidance." IEEE Transactions on Biomedical Engineering 62, no. 12 (December 2015): 2794–811. http://dx.doi.org/10.1109/tbme.2015.2401514.

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6

., Akparibo Richard Awingot. "DEVELOPMENT OF A HANDS FREE URINAL FLUSHING SYSTEM." International Journal of Research in Engineering and Technology 04, no. 08 (August 25, 2015): 279–85. http://dx.doi.org/10.15623/ijret.2015.0408048.

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7

Yu, Tong, Yilin Shen, and Hongxia Jin. "Towards Hands-Free Visual Dialog Interactive Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 1137–44. http://dx.doi.org/10.1609/aaai.v34i01.5465.

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With the recent advances of multimodal interactive recommendations, the users are able to express their preference by natural language feedback to the item images, to find the desired items. However, the existing systems either retrieve only one item or require the user to specify (e.g., by click or touch) the commented items from a list of recommendations in each user interaction. As a result, the users are not hands-free and the recommendations may be impractical. We propose a hands-free visual dialog recommender system to interactively recommend a list of items. At each time, the system shows a list of items with visual appearance. The user can comment on the list in natural language, to describe the desired features they further want. With these multimodal data, the system chooses another list of items to recommend. To understand the user preference from these multimodal data, we develop neural network models which identify the described items among the list and further predict the desired attributes. To achieve efficient interactive recommendations, we leverage the inferred user preference and further develop a novel bandit algorithm. Specifically, to avoid the system exploring more than needed, the desired attributes are utilized to reduce the exploration space. More importantly, to achieve sample efficient learning in this hands-free setting, we derive additional samples from the user's relative preference expressed in natural language and design a pairwise logistic loss in bandit learning. Our bandit model is jointly updated by the pairwise logistic loss on the additional samples derived from natural language feedback and the traditional logistic loss. The empirical results show that the probability of finding the desired items by our system is about 3 times as high as that by the traditional interactive recommenders, after a few user interactions.

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8

Finn, Brian M., and Michael P. Nowak. "Integrated vehicle voice enhancement system and hands-free cellular telephone system." Journal of the Acoustical Society of America 115, no. 1 (2004): 15. http://dx.doi.org/10.1121/1.1646979.

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9

TAKAHASHI, Kazuhiko, Takashi NAKAUKE, and Masafumi HASHIMOTO. "Hands-Free Manipulation Using Simple Bio-Potential Interface System." Journal of System Design and Dynamics 1, no. 4 (2007): 691–702. http://dx.doi.org/10.1299/jsdd.1.691.

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10

Iso, Toshiki, Hiroki Suzuki, Atsuki Tomioka, and Shoji Kurakake. "Hands-Free Video Phone System Based on Visual Sensor Networks." Journal of The Institute of Image Information and Television Engineers 60, no. 9 (2006): 1443–51. http://dx.doi.org/10.3169/itej.60.1443.

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11

Nakagawa, Akira, Suehiro Shimauchi, and Shoji Makino. "A study of microphone system for hands-free teleconferencing units." JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN (E) 21, no. 1 (2000): 33–35. http://dx.doi.org/10.1250/ast.21.33.

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12

Lawrence, Dean, Hannah Imboden, Maya Kabbash, Hussein Chebli, and Adnan Shaout. "EEyePaint: A Gaze Estimation-Based System for Hands-Free Painting." Jordan Journal of Electrical Engineering 7, no. 3 (2021): 179. http://dx.doi.org/10.5455/jjee.204-1614652154.

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13

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 (August 15, 2005): L9—L13. http://dx.doi.org/10.1088/1741-2560/2/4/l01.

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14

Sugahara, Michihiro, Yuichi Kageyama, and Naoki Kunishima. "A hands-free capillary system for protein crystallography from crystallization to data collection." Journal of Applied Crystallography 42, no. 1 (November 28, 2008): 129–33. http://dx.doi.org/10.1107/s0021889808035772.

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With the goal of producing a fully automated experimental system for protein X-ray crystallography, a hands-free system is presented in which all aspects of crystallographic experiments, from crystallization to diffraction data collection, are performed within a modified X-ray glass capillary. Because it eliminates the manual handling of crystals, this capillary system allows the user to evaluate the quality of protein crystals more accurately. The capabilities of this capillary system were examined using the TTHB049 protein fromThermus thermophilusHB8 and xylanase fromTrichoderma longibrachiatum. Each protein was successfully crystallized in the capillary and three complete diffraction data sets were collected at 100 K without direct manual intervention. The diffraction data from the capillary system were superior, in terms of both quality and reproducibility, when compared with data from conventional cryoloop systems. In addition, the capillary system allows thein situheavy-atom derivatization of protein crystals,i.e.the TTHB049 crystals were successfully derivatized with K2PtCl4within the capillary.

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15

Boord, Peter, Andrew Barriskill, Ashley Craig, and Hung Nguyen. "Brain-Computer Interface-FES Integration: Towards a Hands-free Neuroprosthesis Command System." Neuromodulation: Technology at the Neural Interface 7, no. 4 (October 2004): 267–76. http://dx.doi.org/10.1111/j.1094-7159.2004.04212.x.

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16

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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17

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 (October 2002): 1455–58. http://dx.doi.org/10.1053/apmr.2002.34624.

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18

Fukui, Masahiro, Suehiro Shimauchi, Yusuke Hioka, Akira Nakagawa, and Yoichi Haneda. "Double-talk robust acoustic echo cancellation for CD-quality hands-free videoconferencing system." IEEE Transactions on Consumer Electronics 60, no. 3 (August 2014): 468–75. http://dx.doi.org/10.1109/tce.2014.6937332.

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19

WU, JIAN-DA, and SHIH-LIN LIN. "AUDIO QUALITY IMPROVEMENT OF VEHICULAR HANDS-FREE COMMUNICATION USING VARIABLE STEP-SIZE AFFINE-PROJECTION ALGORITHM." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 06 (November 2010): 875–94. http://dx.doi.org/10.1142/s0219691310003821.

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For a vehicular hands-free communication system, the sound quality of communication is usually degraded by noise which is known to be detrimental to system performance. In this paper, a novel adaptive filtering algorithm and an integrated system for acoustic echo and noise cancellation are presented. The proposed system includes adaptive noise cancellation, line enhancer, and echo cancellation which are based on a variable step-size affine-projection algorithm (VSS APA). The proposed VSS APA filtering algorithm is a combination of a variable step-size least-mean-square (VSS LMS) and an affine-projection algorithm (APA). The matrix of the APA allows more accurate, thorough input data and transforms the data into the structure of orthogonality, thus making the estimate of the weight vector faster and more accurate. To understand and verify the effectiveness of the proposed system, performance evaluation and comparison were conducted to compare the proposed algorithm and various traditional adaptive filtering algorithms in this application. The results demonstrated that the VSS APA has an effective performance and convergence in sound quality improvement of hands-free communication systems.

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20

Chi, Hongmei, Jinwei Liu, Weifeng Xu, Mingming Peng, and Jon DeGoicoechea. "Design Hands-on Lab Exercises for Cyber-physical Systems Security Education." Journal of The Colloquium for Information Systems Security Education 9, no. 1 (March 8, 2022): 8. http://dx.doi.org/10.53735/cisse.v9i1.140.

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The integration of cyber-physical systems (CPS) has been extremely advantageous to society, it merges the attention of cybersecurity for vehicles as a timely concern as a matter of public and individual. The failure of any vehicle system could have a serious impact on vehicle control and cause undesired consequences. With the growing demand for security in CPS, there are few hands-on labs/modules available for training current students, future engineers, or IT professionals to understand cybersecurity in CPS. This study describes the execution of a free security testbed to replicate a vehicle’s network system and the implementation of this testbed via hands-on lab designed to introduce concepts of vehicle control systems. The hands-on lab simulates insider threat scenarios where students had to use can-utils toolkits and SavvyCAN to send, modify, and capture the network packet and exploit the system vulnerability threats such as replay attacks and fuzzing attacks on the vehicle system. We conducted a case study with 21 university-level students, and all students completed the hands-on lab, pretest, posttest, and a satisfaction survey as part of a non-graded class assignment. The experimental results show that most students were not familiar with cyber-physical systems and vehicle control systems and never had the chance to do any hands-on lab in this field before. Furthermore, students reported that the hands-on lab helped them learn about CAN-bus and rated high scores for enjoyment. We discussed the design of an affordable tool to teach about vehicle control systems and proposed directions for future work.

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21

Kumar B, Ashok, and S. Bhuvaneswari. "On Line Polling Information System." Journal of Public Administration and Governance 1, no. 2 (July 30, 2011): 179. http://dx.doi.org/10.5296/jpag.v1i2.1128.

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In a social democratic set up voting is one of our fundamental duties as responsible citizens of the country. But no where around a 100% people come to vote during the elections in their territory. Net savvy new generation want manual free voting system. Survey says, pubic need a system on their hands reach through which they can vote. Keeping this as objective this via net based Information System is engineered.

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22

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 (April 28, 2002): 15–20. http://dx.doi.org/10.3233/tad-2002-14103.

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23

MIZUNO, Fumio, Tomoaki Hayasaka, Kenichi Tsubota, Shigeo Wada, and Takami YAMAGUCHI. "Development of a hands-free interface for wearable computer in health care support system." Proceedings of the JSME Conference on Frontiers in Bioengineering 2003.14 (2003): 163–64. http://dx.doi.org/10.1299/jsmebiofro.2003.14.163.

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24

MIZUNO, Fumio, Tomoaki Hayasaka, Kenichi Tsubota, Shigeo Wada, and Takami YAMAGUCHI. "Development of a hands-free interface for wearable computer in health care support system." Proceedings of the JSME annual meeting 2003.5 (2003): 305–6. http://dx.doi.org/10.1299/jsmemecjo.2003.5.0_305.

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25

MIZUNO, Fumio, and Takami YAMAGUCHI. "Development of hands-free interface using for wearable computer in health care support system." Proceedings of the JSME Symposium on Welfare Engineering 2002.2 (2002): 355–58. http://dx.doi.org/10.1299/jsmewes.2002.2.355.

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26

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 (September 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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27

Futami, Kyosuke, Kohei Oyama, and Kazuya Murao. "Augmenting Ear Accessories for Facial Gesture Input Using Infrared Distance Sensor Array." Electronics 11, no. 9 (May 5, 2022): 1480. http://dx.doi.org/10.3390/electronics11091480.

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Simple hands-free input methods using ear accessories have been proposed to broaden the range of scenarios in which information devices can be operated without hands. Although many previous studies use canal-type earphones, few studies focused on the following two points: (1) A method applicable to ear accessories other than canal-type earphones. (2) A method enabling various ear accessories with different styles to have the same hands-free input function. To realize these two points, this study proposes a method to recognize the user’s facial gesture using an infrared distance sensor attached to the ear accessory. The proposed method detects skin movement around the ear and face, which differs for each facial expression gesture. We created a prototype system for three ear accessories for the root of the ear, earlobe, and tragus. The evaluation results for nine gestures and 10 subjects showed that the F-value of each device was 0.95 or more, and the F-value of the pattern combining multiple devices was 0.99 or more, which showed the feasibility of the proposed method. Although many ear accessories could not interact with information devices, our findings enable various ear accessories with different styles to have eye-free and hands-free input ability based on facial gestures.

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28

MIZUNO, Fumio, Tomoaki HAYASAKA, Kenichi TSUBOTA, Shigeo WADA, and Takami YAMAGUCHI. "Development of wearable computer with hands-free operation function for home health care support system." Proceedings of the JSME Symposium on Welfare Engineering 2003.3 (2003): 185–88. http://dx.doi.org/10.1299/jsmewes.2003.3.185.

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29

Goto, Satoru, Osamu Yano, Yoshitaka Matsuda, Takenao Sugi, and Naruto Egashira. "Development of Hands-free Remote Operation System for a Mobile Robot Using EOG and EMG." IEEJ Transactions on Electronics, Information and Systems 136, no. 9 (2016): 1283–90. http://dx.doi.org/10.1541/ieejeiss.136.1283.

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30

Wu, Jian-Da, Tian-Hua Lee, and Mingsian R. Bai. "Background noise cancellation for hands-free communication system of car cabin using adaptive feedforward algorithms." International Journal of Vehicle Design 31, no. 4 (2003): 440. http://dx.doi.org/10.1504/ijvd.2003.003356.

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31

Richardson, Joshua E., Sina Shah-Hosseini, John E. Fiadjoe, Joan S. Ash, and Mohamed A. Rehman. "The effects of a hands-free communication device system in a surgical suite: Table 1." Journal of the American Medical Informatics Association 18, no. 1 (January 2011): 70–72. http://dx.doi.org/10.1136/jamia.2009.001461.

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32

GOTO, SATORU, OSAMU YANO, YOSHITAKA MATSUDA, TAKENAO SUGI, and NARUTO EGASHIRA. "Development of Hands-Free Remote Operation System for a Mobile Robot Using EOG and EMG." Electronics and Communications in Japan 100, no. 10 (September 15, 2017): 38–47. http://dx.doi.org/10.1002/ecj.11984.

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33

Ohkubo, Toshiya, Tetsuya Takiguchi, and Yasuo Ariki. "Two-channel-based Noise Reduction in a Complex Spectrum Plane for Hands-free Communication System." Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 46, no. 2-3 (January 23, 2007): 123–31. http://dx.doi.org/10.1007/s11265-006-0032-7.

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34

Taniguchi, Kazuhiro, Atsushi Nishikawa, Seiichiro Kawanishi, and Fumio Miyazaki. "KOMEKAMI Switch: A Novel Wearable Input Device Using Movement of Temple." Journal of Robotics and Mechatronics 20, no. 2 (April 20, 2008): 260–72. http://dx.doi.org/10.20965/jrm.2008.p0260.

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A wearable computing system plays a leading role in the ubiquitous computing era, in which computers are used at any place and at any time. Now the mobile multimedia communication technology based devices, such as mobile phone, handy-type PC, etc., have come to be used in such a broad range of areas, the features of wearable hands-free computing system, which people can constantly use in their daily life or workplace while doing some other job, are highly valued more than ever. However, the wearable computing system has not yet spread so widely owing to various factors. Among such factors is the delay in the development of human machine interface, which is applicable to the wearable computing system. Conventional technologies that require either manual manipulation of keyboard, mouse, touch panel, etc., or a large equipment to make use of electroencephalogram, eyeball movements, etc. for realizing hands-free interface, are not suitable for the wearable computing system. We, therefore, developed a human-machine interface for the wearable computing system. This interface makes it easy to manipulate machine with intentional movements of temple. User can constantly use machine with no interference, as well as with hands free. It is compact and lightweight, permitting ease of manufacturing at a low cost. It does not react to daily actions like conversation, diet, etc., other than movements intended to control the machine. This interface consists of one optical distance sensor mounted in the vicinity of the left and right temples each and of one single-chip microcomputer.

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35

Rajamäki, Jyri. "Kinetic Controlled Flying of Micro Air Vehicles (MAV) for Public Protection and Disaster Relief (PPDR)." DESIGN, CONSTRUCTION, MAINTENANCE 1 (February 6, 2021): 18–23. http://dx.doi.org/10.37394/232022.2021.1.3.

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We present a hands-free kinetic control method for flying of micro air vehicles (MAVs) or small unmanned aerial vehicles (UAVs) for public protection and disaster relief (PPDR). The system combines a 3D depth-sensing camera with a low-cost drone. The solution is based on Delicode Ltd’s NI mateTM software toolkit. In a study with 10 participants, the kinetic control method was tested and compared with the drone’s normal control mode. The speed to fly a certain path inside a building, and the path accuracy at checkpoints were compared between these two modes. The learning rate with the kinetic control method was found to be better than by normal control. After five attempts, an overall flying speed and path accuracy were still weaker by kinetic control method than by conventional hands-on method. However, hands-free control gives several significant benefits for PPDR applications.

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36

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 (October 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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37

Murphy, Sarah Anne. "Vocera: Enhancing communication across a library system." College & Research Libraries News 70, no. 7 (July 1, 2009): 408–11. http://dx.doi.org/10.5860/crln.70.7.8220.

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Librarians understand that the complex information environment frequently requires us to both consult with local colleagues and physically assist our patrons with navigating our vast library systems, facilities, and collections. Seeking to enhance customer service and internal library communication, Ohio State University (OSU) Libraries submitted a successful LSTA Innovative Technology Grant Proposal to the State Library of Ohio in 2008. The funding allowed the libraries t o purchase Vocera, a wearable hands-free communication system with a proven history of improving the communication and efficiency of mobile workers operating in a campus environment. Currently deployed in more than 550 hospital and . . .

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38

Oh, Sang G., and Vishnu R. Viswanathan. "System and method for improved speech acquisition for hands‐free voice telecommunication in a noisy environment." Journal of the Acoustical Society of America 97, no. 6 (June 1995): 3924. http://dx.doi.org/10.1121/1.412355.

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39

Yang, Yushi, and A. Joy Rivera. "An observational study of hands-free communication devices mediated interruption dynamics in a nursing work system." Health Policy and Technology 4, no. 4 (December 2015): 378–86. http://dx.doi.org/10.1016/j.hlpt.2015.08.003.

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40

Kim, Jinhyuk, Jaekwang Cha, and Shiho Kim. "Hands-Free User Interface for VR Headsets Based on In Situ Facial Gesture Sensing." Sensors 20, no. 24 (December 16, 2020): 7206. http://dx.doi.org/10.3390/s20247206.

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The typical configuration of virtual reality (VR) devices consists of a head-mounted display (HMD) and handheld controllers. As such, these units have limited utility in tasks that require hand-free operation, such as in surgical operations or assembly works in cyberspace. We propose a user interface for a VR headset based on a wearer’s facial gestures for hands-free interaction, similar to a touch interface. By sensing and recognizing the expressions associated with the in situ intentional movements of a user’s facial muscles, we define a set of commands that combine predefined facial gestures with head movements. This is achieved by utilizing six pairs of infrared (IR) photocouplers positioned at the foam interface of an HMD. We demonstrate the usability and report on the user experience as well as the performance of the proposed command set using an experimental VR game without any additional controllers. We obtained more than 99% of recognition accuracy for each facial gesture throughout the three steps of experimental tests. The proposed input interface is a cost-effective and efficient solution that facilitates hands-free user operation of a VR headset using built-in infrared photocouplers positioned in the foam interface. The proposed system recognizes facial gestures and incorporates a hands-free user interface to HMD, which is similar to the touch-screen experience of a smartphone.

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41

Maranha, Vítor, Pedro Maia, Luís Margalho, Nicolle Lourenço, Diogo Oliveira, Diogo Maurício, João F. Caseiro, and Luis Roseiro. "Development of a Dynamic Hands-Free Door Opener to Prevent COVID-19 Pandemic Spreading." Designs 5, no. 3 (September 3, 2021): 56. http://dx.doi.org/10.3390/designs5030056.

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The situation caused by COVID-19 has shown several vulnerabilities in the attitudes and habits of modern society, inducing the need to adopt new behaviors that will directly impact daily activities. The quickly spreading virus contaminates the surfaces of handles and objects, and subsequent contact with the eyes, nose, or mouth is one of the main contagion factors. There is an urgent need to rethink how we interact with the most-touched surfaces, such as door handles in public places with a high flux of people. A revision was performed of the most-used door handles to develop a proposal that could be applied to already existing models, thus avoiding the need for their total replacement. Through interaction between engineering, design, and ergonomics, an auxiliary hands-free door opener device was developed, following iteration improvement from an initial static geometry and culminating in a dynamic system aiming to provide greater ergonomic comfort in its use. The development followed a methodology using 3D modelling supported by 3D printing of the various components to accurately understand their functioning. In addition, the finite element method supported the prediction of the structural behavior of the developed systems. The final models were produced through CNC machining and submitted to functional validation tests with volunteers. The developed HFDO demonstrated relevant differentiation from the existing models on the market: for its geometry and material, but mainly for its strong emphasis on the interaction between the object and the user, resulting from the dynamic component in its use/manipulation.

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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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43

Futami, Kyosuke, Yuki Tabuchi, Kazuya Murao, and Tsutomu Terada. "Exploring Gaze Movement Gesture Recognition Method for Eye-Based Interaction Using Eyewear with Infrared Distance Sensor Array." Electronics 11, no. 10 (May 20, 2022): 1637. http://dx.doi.org/10.3390/electronics11101637.

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With the spread of eyewear devices, people are increasingly using information devices in various everyday situations. In these situations, it is important for eyewear devices to have eye-based interaction functions for simple hands-free input at a low cost. This paper proposes a gaze movement recognition method for simple hands-free interaction that uses eyewear equipped with an infrared distance sensor. The proposed method measures eyelid skin movement using an infrared distance sensor inside the eyewear and applies machine learning to the time-series sensor data to recognize gaze movements (e.g., up, down, left, and right). We implemented a prototype system and conducted evaluations with gaze movements including factors such as movement directions at 45-degree intervals and the movement distance difference in the same direction. The results showed the feasibility of the proposed method. The proposed method recognized 5 to 20 types of gaze movements with an F-value of 0.96 to 1.0. In addition, the proposed method was available with a limited number of sensors, such as two or three, and robust against disturbance in some usage conditions (e.g., body vibration, facial expression change). This paper provides helpful findings for the design of gaze movement recognition methods for simple hands-free interaction using eyewear devices at a low cost.

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Atkins, Joshua D., Michael J. Sammon, and Lynne S. Brotman. "The performance of a newly developed mobile hands‐free context‐aware communications system in a hospital environment." Journal of the Acoustical Society of America 119, no. 5 (May 2006): 3351. http://dx.doi.org/10.1121/1.4786476.

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Wei, Zheng Xi, and Jin Ming Liang. "Design of Image Retrieval System Based on Speech Recognition." Applied Mechanics and Materials 220-223 (November 2012): 2371–74. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2371.

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Nowadays cross-media data mining and retrieval becomes an urgent problem in order to use multimedia resources more efficiently. This paper presents an overall design method on an image retrieval system based on embedded development. On the basis of speech-recognition technology, the voice command is converted into the text which is later to be as the keywords when searching image. In this way, our system allows users to just say can reach the purpose of image retrieval. The tests prove we successfully achieve the image retrieval after inputing voice-command. The integration of speech and image recognition technology can greatly free people's hands and provide a great convenience to users, especially for the illiterate or some disabilities.

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46

MIZUNO, Fumio, and Takami YAMAGUCHI. "Development of hands-free interface for wearable computer in health care support system : The Hyper Hospital at Home." Proceedings of the JSME Bioengineering Conference and Seminar 2002.13 (2002): 121–22. http://dx.doi.org/10.1299/jsmebs.2002.13.0_121.

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47

Estermann, Pius G., August Kaelin, and Allen G. Lindgren. "Analysis of partitioned frequency-domain LMS adaptive algorithm with application to a hands-free telephone system echo canceller." International Journal of Adaptive Control and Signal Processing 14, no. 6 (2000): 587–608. http://dx.doi.org/10.1002/1099-1115(200009)14:6<587::aid-acs605>3.0.co;2-s.

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MIZUNO, Fumio, and Takami YAMAGUCHI. "Development of hands-free interface for wearable computer in health care support system : The Hyper Hospital at Home." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2002.14 (2002): 173–74. http://dx.doi.org/10.1299/jsmebio.2002.14.173.

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49

MIZUNO, Fumio, and Takami YAMAGUCHI. "Development of hands-free interface for wearable computer in health care support system : The Hyper Hospital at Home." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2003.15 (2003): 93–94. http://dx.doi.org/10.1299/jsmebio.2003.15.93.

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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 (September 15, 2012): 300–305. http://dx.doi.org/10.1007/s10015-012-0060-2.

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