Unobtrusive human height and posture recognition with a capacitive sensor

Valtonen, Miika; Kaila, Lasse; Mäentausta, Jaakko; Vanhala, Jukka

doi:10.3233/ais-2011-0120

Cited by 23 publications

(33 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Capacitive systems for posture tracking, which mainly capture static postures, are different from that for gesture recognition. In [120], wall embedded with a CPS with large size is used to detect the postures of standing and fully crouching. In [1], [112], [121]- [124], the whole-body movements and postures are recognized by capacitive proximity sensing equipped on furniture such as couch and bed.…”

Section: ) Gesture Recognition and Posture Trackingmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

View full text Add to dashboard Cite

Capacitive proximity sensors (CPSs) are ubiquitous because of their simple design, low cost and low consumption. Capacitive displacement sensing, as one of the three sensing modalities, works for long distance and can be unitized to measure more physical quantities compared with capacitive volume and deformation sensing. In this paper, we firstly introduce the concept of capacitive displacement sensing. After that, we present applications of capacitive displacement sensing under three broad categories: distance measurements, indirect measurements, and the applications applied in smart environments. Finally, we discuss the challenges and possible solutions for CPSs development. We show that both the detection range and accuracy of CPS can be improved by multi-sensor fusion, and the application scenarios can be extensive through machine/deep learning approaches. We aim to provide a comprehensive, and state-of-theart review of the capacitive displacement sensing, and inspire more researchers and developers to find wide application perspectives.INDEX TERMS Capacitive proximity sensor (CPS), capacitive displacement sensing, distance measurement, indirect measurement, smart environment.

show abstract

Section: ) Gesture Recognition and Posture Trackingmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The earliest exploration of this space was the Musical Jacket [23], which allows a user to interact with a computer using a fabric-based touch keypad embroidered on a jacket. Jacquard [34] from Levi's and Google is one of the first commercial products in this space. It allows touch gestures to be carried out on the sleeve cuff of a jacket made of touch sensitive fabric using conductive yarn.…”

Section: Input On Interactive Fabricsmentioning

confidence: 99%

“…Capacitive sensing is a well-known technique that has been used in prior research for numerous applications, including sensing touch input [5,18,19,29,48], mid-air hand gesture and postures [8,22,34,48], differentiating people [11,29], sensing the distance or displacement of an object [14,31,39], and analyzing the material of an object [8,32,38,43]. An overview of capacitive sensing and its applications was described by Grosse-Puppendahl, et al [10].…”

Section: Capacitive Sensing For Object Recognitionmentioning

confidence: 99%

Capacitivo

Tan

Zhang

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

View full text Add to dashboard Cite

We present Capacitivo, a contact-based object recognition technique developed for interactive fabrics, using capacitive sensing. Unlike prior work that has focused on metallic objects, our technique recognizes non-metallic objects such as food, different types of fruits, liquids, and other types of objects that are often found around a home or in a workplace. To demonstrate our technique, we created a prototype composed of a 12 x 12 grid of electrodes, made from conductive fabric attached to a textile substrate. We designed the size and separation between the electrodes to maximize the sensing area and sensitivity. We then used a 10-person study to evaluate the performance of our sensing technique using 20 different objects, which yielded a 94.5% accuracy rate. We conclude this work by presenting several different application scenarios to demonstrate unique interactions that are enabled by our technique on fabrics.

show abstract

“…Classification of the pose to the three states of standing, sitting, and lying down finds interest in some applications. The paper "Unobtrusive Human Height and Posture Recognition with a Capacitive Senso" [2] by Valtonen et al introduces a capacitive measurement technique which avoids the use of cameras and hence allows for better privacy protection of the user. However, to obtain the measurements, the floor and the ceiling of the environment need to be equipped with meshes of electrodes.…”

Section: This Issuementioning

confidence: 99%