Sensor Systems for Gesture Recognition (3rd Edition)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 July 2025 | Viewed by 39
Special Issue Editor
Interests: wearable sensors; brain–computer interface; motion tracking; gait analysis; sensory glove; biotechnologies
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Special Issue Information
Dear Colleagues,
Gesture recognition (GR) aims to interpret human gestures by means of math algorithms. Its achievement will have widespread applications in a number of different fields, with impacts that can help or meaningfully improve our quality of life.
In the real world, GR can interpret communication meanings at a distance or can “translate” sign language into written sentences or a synthetized voice. In a virtual reality (VR) and augmented reality (AR) world, GR enables navigation and/or interaction, for instance, with the user interface (UI) of a smart TV controlled by hand gestures.
The possible applications are countless, and we can mention just a few. In the health field, GR allows us to augment the motion capabilities of people with disabilities or to support surgeons in surgical settings. In gaming, GR frees gamers from input devices, such as their keyboards, mouse, and joysticks. In the automotive industry, GR allows drivers to control car appliances (see BMW 7 Series). In cinematography, GR is used to computer generate effects or creatures. In everyday life, GR is the means to interact with smartphone apps (see uSens, Inc. and Gestigon GmbH, for example). In human–robot interactions, GR keeps the operator in safe conditions, while his/her gestures become the remote commands for tele-operating a robot. GR facilitates music creation too, converting human movements into sounds.
GR is achieved through (1) data acquisition, (2) the identification of patterns, and (3) interpretation (each of these phases can consist of different stages).
Data can be acquired by means of sensor systems based on different measurement principles, such as mechanical, magnetic, optic, acoustic, and inertial principles, or hybrid sensors. Within this frame, optical technologies are historically the most explored ones (since 1870, when animal movements were analyzed via picture sequences) and represent the current state of the art. However, optical technologies are expensive and require a dedicated room and skilled personnel. Therefore, non-optical technologies, in particular those based on wearable sensors, are becoming increasingly more important.
In order to obtain GR, different methods can be adopted for data segmentation, feature extraction, and classification. These methods highly depend on the type of data (according to the adopted type of sensor system) and the type of gestures to be recognized.
The (supervised on unsupervised) recognition of patterns in data, i.e., regularities, arrangements, and characteristics, can be approached by machine learning or heuristics and can be linked to artificial intelligence (AI).
In sum, sensor systems for gesture recognition deal with an ensemble of topics that can singularly or jointly be accessed and that represent a great opportunity for further development, with widespread potential applications.
This call for papers invites technical contributions to a Sensors Special Issue providing an up-to-date overview on “Sensor Systems for Gesture Recognition”. This Special Issue will deal with theory, solutions, and innovative applications. Potential topics include, but are not limited to, the following:
- Sensor systems;
- Gesture recognition;
- Gesture recognition technologies;
- Gesture extraction methods;
- Gesture detection sensors;
- Wearable sensors;
- Human tracking;
- Human postures and movements;
- Motion detection and tracking;
- Hand gesture recognition;
- Sign language recognition;
- Gait analysis;
- Remote controlling;
- Pattern recognition for gesture recognition;
- Machine learning for gesture recognition;
- Applications of gesture recognition;
- Algorithms for gesture recognition.
Prof. Dr. Giovanni Saggio
Guest Editor
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Keywords
- sensor systems
- gesture recognition
- gesture recognition technologies
- gesture extraction methods
- gesture detection sensors
- wearable sensors
- human tracking
- human postures and movements
- motion detection and tracking
- hand gesture recognition
- sign language recognition
- gait analysis
- remote controlling
- pattern recognition for gesture recognition
- machine learning for gesture recognition
- applications of gesture recognition
- algorithms for gesture recognition
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Related Special Issue
- Sensor Systems for Gesture Recognition in Sensors (17 articles)
