Relevant bibliographies by topics / Gesture

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Gesture'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Gesture"

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PIKA, SIMONE, ELENA NICOLADIS, and PAULA F. MARENTETTE. "A cross-cultural study on the use of gestures: Evidence for cross-linguistic transfer?" Bilingualism: Language and Cognition 9, no. 3 (2006): 319–27. http://dx.doi.org/10.1017/s1366728906002665.

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Anecdotal reports provide evidence of so called “hybrid” gesturer whose non-verbal behavior of one language/culture becomes visible in the other. The direction of this gestural transfer seems to occur from a high to a low frequency gesture language. The purpose of this study was therefore to test systematically 1) whether gestural transfer occurs from a high frequency gesture language to a low frequency gesture language, 2) if the frequency of production of some gesture types is more likely to be transferred than others, and 3) whether gestural transfer can also occur bi-directionally. To addr
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Braddock, Barbara A., Christina Gabany, Meera Shah, Eric S. Armbrecht, and Kimberly A. Twyman. "Patterns of Gesture Use in Adolescents With Autism Spectrum Disorder." American Journal of Speech-Language Pathology 25, no. 3 (2016): 408–15. http://dx.doi.org/10.1044/2015_ajslp-14-0112.

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Purpose The purpose of this study was to examine patterns of spontaneous gesture use in a sample of adolescents with autism spectrum disorder (ASD). Method Thirty-five adolescents with ASD ages 11 to 16 years participated (mean age = 13.51 years; 29 boys, 6 girls). Participants' spontaneous speech and gestures produced during a narrative task were later coded from videotape. Parents were also asked to complete questionnaires to quantify adolescents' general communication ability and autism severity. Results No significant subgroup differences were apparent between adolescents who did not gestu
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Sekine, Kazuki, and Miranda L. Rose. "The Relationship of Aphasia Type and Gesture Production in People With Aphasia." American Journal of Speech-Language Pathology 22, no. 4 (2013): 662–72. http://dx.doi.org/10.1044/1058-0360(2013/12-0030).

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Purpose For many individuals with aphasia, gestures form a vital component of message transfer and are the target of speech-language pathology intervention. What remains unclear are the participant variables that predict successful outcomes from gesture treatments. The authors examined the gesture production of a large number of individuals with aphasia—in a consistent discourse sampling condition and with a detailed gesture coding system—to determine patterns of gesture production associated with specific types of aphasia. Method The authors analyzed story retell samples from AphasiaBank (Tal
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Kong, Anthony Pak-Hin, Sam-Po Law, and Gigi Wan-Chi Chak. "A Comparison of Coverbal Gesture Use in Oral Discourse Among Speakers With Fluent and Nonfluent Aphasia." Journal of Speech, Language, and Hearing Research 60, no. 7 (2017): 2031–46. http://dx.doi.org/10.1044/2017_jslhr-l-16-0093.

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Purpose Coverbal gesture use, which is affected by the presence and degree of aphasia, can be culturally specific. The purpose of this study was to compare gesture use among Cantonese-speaking individuals: 23 neurologically healthy speakers, 23 speakers with fluent aphasia, and 21 speakers with nonfluent aphasia. Method Multimedia data of discourse samples from these speakers were extracted from the Cantonese AphasiaBank. Gestures were independently annotated on their forms and functions to determine how gesturing rate and distribution of gestures differed across speaker groups. A multiple reg
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PARRILL, FEY, BRITTANY LAVANTY, AUSTIN BENNETT, ALAYNA KLCO, and OZLEM ECE DEMIR-LIRA. "The relationship between character viewpoint gesture and narrative structure in children." Language and Cognition 10, no. 3 (2018): 408–34. http://dx.doi.org/10.1017/langcog.2018.9.

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abstractWhen children tell stories, they gesture; their gestures can predict how their narrative abilities will progress. Five-year-olds who gestured from the point of view of a character (CVPT gesture) when telling stories produced better-structured narratives at later ages (Demir, Levine, & Goldin-Meadow, 2014). But does gesture just predict narrative structure, or can asking children to gesture in a particular way change their narratives? To explore this question, we instructed children to produce CVPT gestures and measured their narrative structure. Forty-four kindergarteners were aske
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Cooperrider, Kensy. "Foreground gesture, background gesture." Gesture 16, no. 2 (2017): 176–202. http://dx.doi.org/10.1075/gest.16.2.02coo.

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Abstract Do speakers intend their gestures to communicate? Central as this question is to the study of gesture, researchers cannot seem to agree on the answer. According to one common framing, gestures are an “unwitting” window into the mind (McNeill, 1992); but, according to another common framing, they are designed along with speech to form “composite utterances” (Enfield, 2009). These two framings correspond to two cultures within gesture studies – the first cognitive and the second interactive in orientation – and they appear to make incompatible claims. In this article I attempt to bridge
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CASEY, SHANNON, KAREN EMMOREY, and HEATHER LARRABEE. "The effects of learning American Sign Language on co-speech gesture." Bilingualism: Language and Cognition 15, no. 4 (2012): 677–86. http://dx.doi.org/10.1017/s1366728911000575.

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Given that the linguistic articulators for sign language are also used to produce co-speech gesture, we examined whether one year of academic instruction in American Sign Language (ASL) impacts the rate and nature of gestures produced when speaking English. A survey study revealed that 75% of ASL learners (N = 95), but only 14% of Romance language learners (N = 203), felt that they gestured more after one year of language instruction. A longitudinal study confirmed this perception. Twenty-one ASL learners and 20 Romance language learners (French, Italian, Spanish) were filmed re-telling a cart
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Foran, Lori, and Brenda Beverly. "Points to Ponder: Gesture and Language in Math Talk." Perspectives on Language Learning and Education 22, no. 2 (2015): 72–81. http://dx.doi.org/10.1044/lle22.2.71.

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With the introduction of Common Core State Standards, mathematical learning and problem solving in the academic environment is more linguistically demanding. Speech-language pathologists (SLPs) can support students with language impairment and teachers charged with new curricular demands. The role of gestural communication as a support for children's math learning and as an instructional strategy during math education is reviewed. Findings are presented from a recent pilot study on the gesture and language production of 3-, 4- and 5-year- old children as they solve early arithmetic and fractio
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Jasim, Mahmood, Tao Zhang, and Md Hasanuzzaman. "A Real-Time Computer Vision-Based Static and Dynamic Hand Gesture Recognition System." International Journal of Image and Graphics 14, no. 01n02 (2014): 1450006. http://dx.doi.org/10.1142/s0219467814500065.

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This paper presents a novel method for computer vision-based static and dynamic hand gesture recognition. Haar-like feature-based cascaded classifier is used for hand area segmentation. Static hand gestures are recognized using linear discriminant analysis (LDA) and local binary pattern (LBP)-based feature extraction methods. Static hand gestures are classified using nearest neighbor (NN) algorithm. Dynamic hand gestures are recognized using the novel text-based principal directional features (PDFs), which are generated from the segmented image sequences. Longest common subsequence (LCS) algor
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Meng, Yuting, Haibo Jiang, Nengquan Duan, and Haijun Wen. "Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System." Sensors 24, no. 19 (2024): 6262. http://dx.doi.org/10.3390/s24196262.

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Hand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition. However, with the diversity and variability of hand gestures in daily life, this paper proposes a registerable hand gesture recognition approach based on Triple Loss. By learning the differences between different hand gestures, it can cluster them and identify newly added gestures. This paper constructs a registerable gesture dataset (RGDS) for training registerable hand gesture recognition models. Addition
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Dissertations / Theses on the topic "Gesture"

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Lindberg, Martin. "Introducing Gestures: Exploring Feedforward in Touch-Gesture Interfaces." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23555.

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This interaction design thesis aimed to explore how users could be introduced to the different functionalities of a gesture-based touch screen interface. This was done through a user-centred design research process where the designer was taught different artefacts by experienced users. Insights from this process lay the foundation for an interactive, digital gesture-introduction prototype.Testing said prototype with users yielded this study's results. While containing several areas for improvement regarding implementation and behaviour, the prototype's base methods and qualities were well rece
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Campbell, Lee Winston. "Visual classification of co-verbal gestures for gesture understanding." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8707.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2001.<br>Includes bibliographical references (leaves 86-92).<br>A person's communicative intent can be better understood by either a human or a machine if the person's gestures are understood. This thesis project demonstrates an expansion of both the range of co-verbal gestures a machine can identify, and the range of communicative intents the machine can infer. We develop an automatic system that uses realtime video as sensory input and then segments, classifies, an
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Smith, Jason Alan. "Naturalistic skeletal gesture movement and rendered gesture decoding." Diss., Online access via UMI:, 2006.

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Davis, James W. "Gesture recognition." Honors in the Major Thesis, University of Central Florida, 1994. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/126.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Arts and Sciences<br>Computer Science
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Yunus, Fajrian. "Prediction of Gesture Timing and Study About Image Schema for Metaphoric Gestures." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS551.

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Les gestes communicatifs et la parole sont étroitement liés. Nous voulons prédire automatiquement les gestes en fonction du discours. Le discours lui-même a deux constituants : l'acoustique et le contenu du discours (c'est-à-dire le texte). Dans une partie de cette thèse, nous développons un modèle basé sur un réseau de neurones récurrents avec un mécanisme d'attention pour prédire le moment des gestes, c'est-à-dire quand les gestes doivent se produire et quels types des gestes doivent se produire. Nous utilisons une technique de comparaison de séquences pour évaluer les performances du modèle
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Cheng, You-Chi. "Robust gesture recognition." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53492.

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It is a challenging problem to make a general hand gesture recognition system work in a practical operation environment. In this study, it is mainly focused on recognizing English letters and digits performed near the steering wheel of a car and captured by a video camera. Like most human computer interaction (HCI) scenarios, the in-car gesture recognition suffers from various robustness issues, including multiple human factors and highly varying lighting conditions. It therefore brings up quite a few research issues to be addressed. First, multiple gesturing alternatives may share the same me
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Cometti, Jean Pierre. "The architect's gesture." Pontificia Universidad Católica del Perú - Departamento de Humanidades, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/112899.

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Kaâniche, Mohamed Bécha. "Human gesture recognition." Nice, 2009. http://www.theses.fr/2009NICE4032.

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Dans cette thèse, nous voulons reconnaître les gestes (par ex. Lever la main) et plus généralement les actions brèves (par ex. Tomber, se baisser) effectués par un individu. De nombreux travaux ont été proposés afin de reconnaître des gestes dans un contexte précis (par ex. En laboratoire) à l’aide d’une multiplicité de capteurs (par ex. Réseaux de cameras ou individu observé muni de marqueurs). Malgré ces hypothèses simplificatrices, la reconnaissance de gestes reste souvent ambiguë en fonction de la position de l’individu par rapport aux caméras. Nous proposons de réduire ces hypothèses afin
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Alon, Jonathan. "Spatiotemporal Gesture Segmentation." Boston University Computer Science Department, 2006. https://hdl.handle.net/2144/1884.

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Spotting patterns of interest in an input signal is a very useful task in many different fields including medicine, bioinformatics, economics, speech recognition and computer vision. Example instances of this problem include spotting an object of interest in an image (e.g., a tumor), a pattern of interest in a time-varying signal (e.g., audio analysis), or an object of interest moving in a specific way (e.g., a human's body gesture). Traditional spotting methods, which are based on Dynamic Time Warping or hidden Markov models, use some variant of dynamic programming to register the pattern and
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Macleod, Tracy. "Gesture signs in social interaction : how group size influences gesture communication." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1205/.

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This thesis explores the effects of group size on gesture communication. Signs in general change, in the kind of information they convey and the way in which they do so, and changes depend on interactive communication. For instance, speech is like dialogue in smaller groups but like monologue in larger groups. It was predicted that gestures would be influenced in a similar way by group size. In line with predictions, communication in groups of 5 was like dialogue whereas in groups of 8 it was like monologue. This was evident from the types of gesture that occurred with more beat and deictic ge
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Books on the topic "Gesture"

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Stam, Gale, Gale Stam, and Mika Ishino. Integrating gestures: The interdisciplinary nature of gesture. John Benjamins Pub., 2011.

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Ormerod, Roger. Farewell gesture. Doubleday, 1991.

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Connors, April. Gesture Drawing. CRC Press, 2017. http://dx.doi.org/10.1201/9781315156385.

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Church, R. Breckinridge, Martha W. Alibali, and Spencer D. Kelly, eds. Why Gesture? John Benjamins Publishing Company, 2017. http://dx.doi.org/10.1075/gs.7.

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Escalera, Sergio, Isabelle Guyon, and Vassilis Athitsos, eds. Gesture Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57021-1.

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Konar, Amit, and Sriparna Saha. Gesture Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62212-5.

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Linda, Corriveau, and Hatay Nona, eds. Pure gesture. Gateways, 1990.

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Winterthur, Kunstmuseum, ed. Frozen gesture: Gesten in der Malerei = gestures in painting. Hirmer Verlag, 2019.

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McNeill, David. Gesture and Thought. University of Chicago Press, 2008.

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Cienki, Alan, and Cornelia Müller, eds. Metaphor and Gesture. John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/gs.3.

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Book chapters on the topic "Gesture"

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Nikiforidou, Kiki. "Multimodality, conventionality and inheritance in dialogic constructions." In Constructional Approaches to Language. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/cal.38.02nik.

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Abstract The chapter investigates the multimodal correlates of a family of dialogic challenging constructions in Modern Greek, anchored to the form ela (2nd person singular imperative of the verb erxome ‘come’). First, prosodic features of these constructions are analyzed in terms of intonation measurements in a production experiment, then gestural features are tested in terms of conventionality in a recognition task. Gesture salience (defined independently of linguistic input) and the functional space of gestures are discussed as factors that may explain successful and unsuccessful results in
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Vermeerbergen, Myriam, and Eline Demey. "Sign + Gesture = Speech + Gesture?" In Simultaneity in Signed Languages. John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/cilt.281.12ver.

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Schneider, Rebecca. "Gesture." In Critical Terms in Futures Studies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28987-4_23.

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Peacock, Steven. "Gesture." In Hollywood and Intimacy. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230355330_3.

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Stanchfield, Walt. "Gesture." In Drawn to Life: 20 Golden Years of Disney Master Classes, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003215363-2.

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Smith, Roger. "Gesture." In Kinaesthesia in the Psychology, Philosophy and Culture of Human Experience. Routledge, 2023. http://dx.doi.org/10.4324/9781003368021-14.

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Lamb, Jonathan. "Gesture." In The Routledge Handbook of Reenactment Studies. Routledge, 2019. http://dx.doi.org/10.4324/9780429445637-19.

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Cartmill, Erica A., and Susan Goldin-Meadow. "Gesture." In APA handbook of nonverbal communication. American Psychological Association, 2016. http://dx.doi.org/10.1037/14669-012.

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Holme, Randal. "Gesture." In Cognitive Linguistics and Language Teaching. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230233676_4.

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Reichl, Karl. "Gesture." In The Oral Epic. Routledge, 2021. http://dx.doi.org/10.4324/9781003189114-8.

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Conference papers on the topic "Gesture"

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Shukla, Aditya, Anand Kumar Jha, Shubham Pahal, Vishal Tyagi, and Ajay Solanki. "Fabrication of a Hand Gesture Controlled Wheelchair." In 22nd ISME International Conference on Recent Advances in Mechanical Engineering for Sustainable Development. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-sbheh1.

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Hand-gesture controlled wheelchairs help in providing mobility and safety to individuals with physical disabilities or mobility impairments. In this paper, a wheelchair have been fabricated so that it can be controlled by hand-gestures and move smoothly in all 4 directions. The main focus of our research has been to drive down the cost of such a wheelchair as compared to the ones already available in the market to enable penurious people to afford it. An accelerometer sensor is fitted in the data glove to read the hand movements and the information is conveyed to an Arduino microcontroller usi
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Parkar, Zaid, Amitesh Nair, Akhil Nautiyal, Ruturaj Patil, and Namita Pulgam. "GestureX: Text Generation based on the Gesture Identified using LSTM." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10775203.

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Chen, Ting, and Wencheng Tang. "Interactive Gesture of Exhibition Hall Mobile Follow Service Robot." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001110.

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In order to make gesture-based interaction more natural for users, this research aims to find suitable gestures for interaction between users and exhibition hall service robots. The research process is divided into two stages. The first stage conducts demand analysis and task definition to analyze user needs and tasks in different scenarios during the visit of the exhibition hall, thus to define the task set of the exhibition hall service robot gesture interaction. The second stage conducts two experiments. Experiment one carries out gesture inspiration. Participants are invited to design gest
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Ge, Yuncheng, Yewei Huang, Ye Julei, Huazixi Zeng, Hechong Su, and Zengyao Yang. "DMGR: Divisible Multi-complex Gesture Recognition Based on Word Segmentation Processing." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005654.

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In the realm of gesture recognition and computer algorithm optimization, traditional approaches have predominantly focused on recognizing isolated gestures. However, this paradigm proves inadequate when confronted with complex gestural sequences, resulting in cumbersome recognition processes and diminished accuracy. Contemporary human-computer interaction (HCI) applications often necessitate users to perform intricate series of gestures, rather than isolated movements. Consequently, there is a pressing need for systems capable of not only recognizing individual gestures but also accurately seg
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Ju, Haotian, Fangli Song, Wei Wang, Jun Zhang, Chen Qi, and Le Du. "Extending Fitts’ Law: a model of stroke operations in commercial applications." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005737.

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In the rapidly evolving landscape of smartphone technology and micro-interaction design, our research aims to extend the applicability of Fitts' Law to better understand and model the dynamics of finger stroke gestures on smartphone commercial applications. Traditional interpretations of Fitts' Law, which primarily rely on distance (D) and target width (W) to quantify task difficulty (ID) in gesture input, may not be sufficient in capturing the complexities inherent in touchscreen interactions with commercial applications. To address this research gap, we propose an adaptation of Fitts' Law th
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DeVito, Matthew P., and Karthik Ramani. "Talking to TAD: Animating an Everyday Object for Use in Augmented Workspaces." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34189.

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Workspaces augmented by multitouch and gesture-sensing systems are quickly becoming a reality, but studies appear to limit themselves to interacting with displays. With the continued progress of the ubiquitous computing movement, everyday objects are coming to life and will soon enter these augmented spaces. Little has been studied regarding gestural control of everyday objects capable of movement in three-dimensional space. In the present study, we augment an office lamp for gestural interaction and use it toward finding more natural gestures for augmented workspace interaction with physical
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Yang, Sicheng, Zhiyong Wu, Minglei Li, et al. "DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/650.

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The art of communication beyond speech there are gestures. The automatic co-speech gesture generation draws much attention in computer animation. It is a challenging task due to the diversity of gestures and the difficulty of matching the rhythm and semantics of the gesture to the corresponding speech. To address these problems, we present DiffuseStyleGesture, a diffusion model based speech-driven gesture generation approach. It generates high-quality, speech-matched, stylized, and diverse co-speech gestures based on given speeches of arbitrary length. Specifically, we introduce cross-local at
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Liang, Cao. "Bridging the Cognitive Gap: Optimizing Gesture Interaction Design for the Elderly." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004543.

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With the advancement of technology, individuals are on the verge of embracing an era of artificial intelligence (AI). While the utilization of innovative products enhances convenience in people's lives, it often brings forth new challenges and problems. The elderly, in particular, face additional obstacles in using AI products due to physical and cognitive aging. However, gestural interaction, as a new means of interaction, has the potential to address this issue.In this paper, we employ qualitative research methods to explore the guidelines for gesture interaction between AI systems and elder
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He, Yanming, Shumeng Hou, and Peiyao Cheng. "Generating a Gesture Set Using the User-defined Method in Smart Home Contexts." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002181.

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Gesture interaction is a natural interaction method and it has been widely applied in various smart contexts. Smart home system is a promising area to integrate gesture interaction. Under this background, it is necessary to generate a set of gestures that can support users’ intuitive interaction with smart home devices. Gesture elicitation study (GES) is an effective method used for generating gestures. In this study, by following GES, we develop a gesture set for controlling a smart TV via a smart speaker, which was common in smart home contexts. Two studies were conducted. In study 1, we con
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C, Valarmathi, Poornima N, Nanditha M, Yeshaswini R, and Vinay Kumar U. "Gesture Zoom-Touchless Navigation at your Fingertips." In International Conference on Recent Trends in Computing & Communication Technologies (ICRCCT’2K24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/iyba3085/icrcct24p25.

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In this work, we introduce Gesture Zoom, a touch less navigation system that uses hand gestures to allow for intuitive visual manipulation. Users can zoom in and out of photos in real time without touching a device thanks to Gesture Zoom, which uses Open CV and computer vision technologies to read hand gestures. Fingertip distance calculation, hand movement detection and tracking, and image position locking based on user gestures are all part of the process. Gesture Zoom is perfect for industries that need contact free control, like healthcare, food service, and education, since it uses Python
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Reports on the topic "Gesture"

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Yang, Jie, and Yangsheng Xu. Hidden Markov Model for Gesture Recognition. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada282845.

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Morton, Paul R., Edward L. Fix, and Gloria L. Calhoun. Hand Gesture Recognition Using Neural Networks. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada314933.

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Cassell, Justine, Matthew Stone, Brett Douville, Scott Prevost, and Brett Achorn. Modeling the Interaction between Speech and Gesture. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada290549.

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Vira, Naren. Gesture Recognition Development for the Interactive Datawall. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada476755.

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Zhao, Ruyin. CSI-based Gesture Recognition and Object Detection. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-456.

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Lampton, Donald R., Bruce W. Knerr, Bryan R. Clark, Glenn A. Martin, and Donald A. Washburn. Gesture Recognition System for Hand and Arm Signals. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408459.

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Venetsky, Larry, Mark Husni, and Mark Yager. Gesture Recognition for UCAV-N Flight Deck Operations. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada422629.

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Yacoob, Yaser, and Larry Davis. Gesture-Based Control of Spaces and Objects in Augmented. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408623.

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Perzanowski, Dennis, Alan C. Schultz, William Adams, and Elaine Marsh. Using a Natural Language and Gesture Interface for Unmanned Vehicles. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada435161.

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Elliott, Linda R., Susan G. Hill, and Michael Barnes. Gesture-Based Controls for Robots: Overview and Implications for Use by Soldiers. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1011904.

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