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Yıl 2024, Cilt: 13 Sayı: 3, 537 - 552, 26.09.2024
https://doi.org/10.17798/bitlisfen.1434202

Öz

Kaynakça

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Machine Learning-Assisted Wearable Thermo-Haptic Device for Creating Tactile Sensation

Yıl 2024, Cilt: 13 Sayı: 3, 537 - 552, 26.09.2024
https://doi.org/10.17798/bitlisfen.1434202

Öz

The tactile modality is an important source of human experience and emotional expression, either on its own or by intensifying and complementing other senses, influencing our interactions with objects, people, animals and other beings. Following this, developed haptic devices transmit information to the user using tactile stimuli to increase or change sensory input. Haptics are an important factor that makes virtual worlds and remote interpersonal interaction tangible. Haptic feedback consists of more components that make an experience physically perceptible and realistic. Haptic feedbacks are widely used in mobile and wearable devices to convey various types of notifications to users. In this study, it was aimed to develop a new generation of wearable gloves against the hypoesthesia problem by combining artificial intelligence and thermohaptic, which are popular in many fields.

Kaynakça

  • [1] R. Z. Hill and D. M. Bautista, “Getting in Touch with Mechanical Pain Mechanisms,” Trends Neurosci, vol. 43, no. 5, pp. 311–325, May 2020, doi: 10.1016/J.TINS.2020.03.004.
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  • [6] L. A. Connell, N. B. Lincoln, and K. A. Radford, “Somatosensory impairment after stroke: frequency of different deficits and their recovery,” Clin. Rehabil., vol. 22, no. 8, pp. 758–767, Aug. 2008, doi: 10.1177/0269215508090674.
  • [7] M. A. Choukou, S. Mbabaali, J. B. Hani, and C. Cooke, “Haptic-Enabled Hand Rehabilitation in Stroke Patients: A Scoping Review,” Applied Sciences, vol. 11, no. 8, p.3712, Apr. 2021, doi: 10.3390/APP11083712.
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  • [32] R. De Fazio, V. M. Mastronardi, M. Petruzzi, M. De Vittorio, and P. Visconti, “Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition,” Future Internet 2023, vol. 15, no. 1, p. 14, Dec. 2022, doi: 10.3390/FI15010014.
  • [33] D. Ravenscroft, I. Prattis, T. Kandukuri, Y. A. Samad, and L. G. Occhipinti, “A Wearable Graphene Strain Gauge Sensor with Haptic Feedback for Silent Communications,” FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems, Jun. 2021, doi: 10.1109/FLEPS51544.2021.9469728.
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  • [36] A. Puliafito, A. Celesti, M. Villari, and M. Fazio, “Towards the integration between IoT and cloud computing: An approach for the secure self-configuration of embedded devices,” Int J Distrib Sens Netw, vol. 2015, 2015, doi: 10.1155/2015/286860.
  • [37] P. F. Folty´nek, M. Babiuch, and P. S. ˇ Uránek, “Measurement and data processing from Internet of Things modules by dual-core application using ESP32 board,” Measurement and Control, vol. 52, no. 8, pp. 970–984, 2019, doi: 10.1177/0020294019857748.
  • [38] J. Kaur, N. Batra, and S. Goyal, “SmartEmoDetect: An Internet of Things Based Emotion Monitoring Wearable Technology for Drivers Lightweight Operating System Framework for IoT Devices View project Integrated platform for innovation and smart product designs View project SmartEmoDetect: An IoT Based Emotion Monitoring Wearable Technology for Drivers,” Article in Journal of Computational and Theoretical Nanoscience, vol. 16, pp. 1–5, 2019, doi: 10.1166/jctn.2019.8279.
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Toplam 55 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka (Diğer), Biyomedikal Bilimler ve Teknolojiler, Tıbbi Cihazlar
Bölüm Araştırma Makalesi
Yazarlar

Mine Boz 0000-0002-0692-8809

Yeliz Durgun 0000-0003-3834-5533

Erken Görünüm Tarihi 20 Eylül 2024
Yayımlanma Tarihi 26 Eylül 2024
Gönderilme Tarihi 8 Şubat 2024
Kabul Tarihi 7 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 13 Sayı: 3

Kaynak Göster

IEEE M. Boz ve Y. Durgun, “Machine Learning-Assisted Wearable Thermo-Haptic Device for Creating Tactile Sensation”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, c. 13, sy. 3, ss. 537–552, 2024, doi: 10.17798/bitlisfen.1434202.



Bitlis Eren Üniversitesi
Fen Bilimleri Dergisi Editörlüğü

Bitlis Eren Üniversitesi Lisansüstü Eğitim Enstitüsü        
Beş Minare Mah. Ahmet Eren Bulvarı, Merkez Kampüs, 13000 BİTLİS        
E-posta: fbe@beu.edu.tr