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Gesture recognition is a much studied research area which has myriad real-world applications including robotics and human-machine interaction. Current gesture recognition methods have focused on recognising isolated gestures, and existing…

Computer Vision and Pattern Recognition · Computer Science 2021-09-22 Harshala Gammulle , Simon Denman , Sridha Sridharan , Clinton Fookes

With the ubiquity of touchscreens, touch input modality has become a popular way of interaction. However, current touchscreen technology is limiting in its design as it restricts touch interactions to specially instrumented touch surfaces.…

Human-Computer Interaction · Computer Science 2021-05-04 Sarnab Bhattacharya , Keum San Chun , Edison Thomaz

Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition and re-identification. Nevertheless, in practical scenarios,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Ashwin Prakash , Thejaswin S , Athira Nambiar , Alexandre Bernardino

Touch-based authentication is widely deployed on mobile devices due to its convenience and seamless user experience. However, existing systems largely model touch interaction as a purely behavioral signal, overlooking its intrinsic…

Human-Computer Interaction · Computer Science 2026-04-09 Zijian Ling , Jianbang Chen , Hongwei Li , Hongda Zhai , Man Zhou , Jun Feng , Zhengxiong Li , Qi Li , Qian Wang

This is the preprint version of our paper on Personal and Ubiquitous Computing. There is an increasing interest in creating pervasive games based on emerging interaction technologies. In order to develop touch-less, interactive and…

Human-Computer Interaction · Computer Science 2015-09-08 Zhihan Lv , Alaa Halawani , Shengzhong Feng , Shafiq ur Rehman , Haibo Li

Traditional vision-based material perception methods often experience substantial performance degradation under visually impaired conditions, thereby motivating the shift toward non-visual multimodal material perception. Despite this,…

Machine Learning · Computer Science 2025-11-26 Kailin Lyu , Long Xiao , Jianing Zeng , Junhao Dong , Xuexin Liu , Zhuojun Zou , Haoyue Yang , Lin Shu , Jie Hao

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such…

Robotics · Computer Science 2019-01-14 Sangwoo Park , Cassie Meeker , Lynne M. Weber , Lauri Bishop , Joel Stein , Matei Ciocarlie

While passive surfaces offer numerous benefits for interaction in mixed reality, reliably detecting touch input solely from head-mounted cameras has been a long-standing challenge. Camera specifics, hand self-occlusion, and rapid movements…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Paul Streli , Mark Richardson , Fadi Botros , Shugao Ma , Robert Wang , Christian Holz

Haptic feedback is the most significant sensory interface following visual cues. Developing thin, flexible surfaces that function as haptic interfaces is important for augmenting virtual reality, wearable devices, robotics and prostheses.…

Touch sensing, as a major human/machine interface, is widely used in various commercial products such as smart watches, mobile phones, tablets and TVs. State-of-the-art touch detections are mainly based on mutual capacitive sensing, which…

Emerging Technologies · Computer Science 2017-01-04 Li Du

Video and wearable sensor data provide complementary information about human movement. Video provides a holistic understanding of the entire body in the world while wearable sensors provide high-resolution measurements of specific body…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 J. D. Peiffer , Kunal Shah , Shawana Anarwala , Kayan Abdou , R. James Cotton

Assistive robotic grasping plays an important role in enabling safe and adaptive manipulation of diverse objects. However, existing systems often rely on electronic sensing and multi-stage processing pipelines, increasing system complexity…

Robotics · Computer Science 2026-05-08 Jing Xu , Xuezhi Niu , Didem Gurdur Broo , Klas Hjort

Multi-sensor fusion is essential for accurate 3D object detection in self-driving systems. Camera and LiDAR are the most commonly used sensors, and usually, their fusion happens at the early or late stages of 3D detectors with the help of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-08 Javed Ahmad , Alessio Del Bue

Robust and precise robotic assembly entails insertion of constituent components. Insertion success is hindered when noise in scene understanding exceeds tolerance limits, especially when fabricated with tight tolerances. In this work, we…

We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of a drawer. Successful solutions require localizing free…

Robotics · Computer Science 2023-03-24 Sameer Pai , Tao Chen , Megha Tippur , Edward Adelson , Abhishek Gupta , Pulkit Agrawal

Handheld kinesthetic haptic interfaces can provide greater mobility and richer tactile information as compared to traditional grounded devices. In this paper, we introduce a new handheld haptic interface which takes input using…

Systems and Control · Electrical Eng. & Systems 2023-09-07 Megh Vipul Doshi , Michael Hagenow , Robert Radwin , Michael Gleicher , Bilge Mutlu , Michael Zinn

The biological skin enables animals to sense various stimuli. Extensive efforts have been made recently to develop smart skin-like sensors to extend the capabilities of biological skins; however, simultaneous sensing of several types of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Sho Shimadera , Kei Kitagawa , Koyo Sagehashi , Tomoaki Niiyama , Satoshi Sunada

Hands are a fundamental tool humans use to interact with the environment and objects. Through hand motions, we can obtain information about the shape and materials of the surfaces we touch, modify our surroundings by interacting with…

Human-Computer Interaction · Computer Science 2024-05-27 Valerio Belcamino , Alessandro Carfì , Fulvio Mastrogiovanni

Sensing touch on arbitrary surfaces has long been a goal of ubiquitous computing, but often requires instrumenting the surface. Depth camera-based systems have emerged as a promising solution for minimizing instrumentation, but at the cost…

Human-Computer Interaction · Computer Science 2025-03-04 Ziyi Xia , Xincheng Huang , Sidney S Fels , Robert Xiao

Around-device interaction promises to extend the input space of mobile and wearable devices beyond the common but restricted touchscreen. So far, most around-device interaction approaches rely on instrumenting the device or the environment…

Human-Computer Interaction · Computer Science 2017-01-17 Jens Grubert , Eyal Ofek , Michel Pahud , Matthias Kranz , Dieter Schmalstieg