Twist 'n' Knock: A One-handed Gesture for Smart Watches
نویسندگان
چکیده
Interacting with a smart watch requires a fair amount of attention, which can disrupt a user’s primary activity. While single-handed gestures have been developed for other platforms, they are cumbersome to perform with a watch. A simple interaction is needed that can be used to quickly and subtly access the watch at the user’s convenience. In this paper, we developed Twist 'n' Knock—a one-handed gesture that can quickly trigger functionality on a smart watch without causing unintended false positives. This gesture is performed by quickly twisting the wrist that wears the watch and then knocking on a nearby surface such as the thigh when standing or a table when sitting. Our evaluation with 11 participants shows that by chunking the twisting and knocking motion into a combined action, Twist ‘n’ Knock offers distinct features that produced only 2 false positives over a combined 22 hours of real world collection (11 users for 2 hours each). In structured tests, accuracy was 93%. Keywords: One-handed interaction; gesture; smart watch. Index Terms: [User Interfaces]: Input devices and strategies, Interaction styles.
منابع مشابه
IMU2Face: Real-time Gesture-driven Facial Reenactment
We present IMU2Face, a gesture-driven facial reenactment system. To this end, we combine recent advances in facial motion capture and inertial measurement units (IMUs) to control the facial expressions of a person in a target video based on intuitive hand gestures. IMUs are omnipresent, since modern smart-phones, smart-watches and drones integrate such sensors; e.g., for changing the orientatio...
متن کاملFeature Dimension Reduction of Multisensor Data Fusion using Principal Component Fuzzy Analysis
These days, the most important areas of research in many different applications, with different tools, are focused on how to get awareness. One of the serious applications is the awareness of the behavior and activities of patients. The importance is due to the need of ubiquitous medical care for individuals. That the doctor knows the patient's physical condition, sometimes is very important. O...
متن کاملKey Frame Selection for One-Two Hand Gesture Recognition with HMM
The sign language recognition is the most popular research area involving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, I present an object based key frame selection. Forward Algorithm is used for shape similarity for one and two handed gesture recognition. That recognition is with feature and without feature...
متن کاملAn Overview of Mobile Capacitive Touch Technologies Trends
—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 requires necessary contact-touch, limiting the mobile user experience. Recently, remote gesture sensing is widely reported in both academy and industry as it...
متن کاملGesture-Controlled User Input to Complete Questionnaires on Wrist-Worn Watches
The aim of this work was to investigate arm gestures as an alternative input modality for wrist-worn watches. In particular we implemented a gesture recognition system and questionnaire interface into a watch prototype. We analyzed the wearer’s effort and learning performance to use the gesture interface and compared their performance to a classical button-based solution. Moreover we evaluated ...
متن کامل