E-Textile Couch: Towards Smart Garments Integrated Furniture

Rus, Silvia; Braun, Andreas; Kuijper, Arjan

doi:10.1007/978-3-319-56997-0_17

Cited by 13 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Haiyan et al [19] introduced a method called functional module design, using the design of an intelligent wardrobe with dehumidification and anti-mold functions as an example. Rus et al [20] explore using intelligent textiles in furniture with a sofa as an example, using capacitive sensors to recognize human posture. Gust et al [21] present a draft concept of intelligent furniture that can determine and assess sitting posture in real-time, giving haptic feedback to the user through the deformation of the seat surface actuators.…”

Section: Intelligent Manufacturing Of Furniturementioning

confidence: 99%

A New Design Approach: Applying Optical Fiber Sensing to 3D-Printed Structures to Make Furniture Intelligent

Jiang,

Lu,

Zhao

2023

Sustainability

View full text Add to dashboard Cite

In the context of sustainability, the development of optical fiber sensing technology and 3D printing technology brings new sustainable manufacturing solutions for the furniture industry. Based on the current status and development situation of the application of optical fiber sensing technology and 3D-printed furniture, this paper proposes the concept of applying embedded optical fiber sensing technology to traditional furniture manufacturing as the intersection of traditional furniture design and 3D printing technology. This design method is applied in furniture design cases, the stability of the 3D-printed structure after the optical fiber is embedded in the structure is verified through experiments, and the integration of the embedded optical fiber light-inducing and monitoring technology is used to assess the intelligence of furniture. It is found that by applying optical fiber sensors to furniture intelligence, the real-time monitoring of the environment, temperature, humidity, and other parameters during the use of furniture can be achieved, thus improving the energy efficiency and comfort of furniture. This innovative design idea and method provides a new direction for the sustainable development of furniture products and encourages the furniture industry to move forward in a more environmentally friendly and intelligent direction.

show abstract

Section: Intelligent Manufacturing Of Furniturementioning

confidence: 99%

A New Design Approach: Applying Optical Fiber Sensing to 3D-Printed Structures to Make Furniture Intelligent

Jiang,

Lu,

Zhao

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Surface-borne sensors are contrasted with obtrusive video cameras for sensing human activity in smart environments [92].In recent office-and home-environment studies, researchers integrated thin resistive and capacitive sensors into soft surfaces for human activity recognition. An electronic textile couch was equipped with capacitive presence sensors, with a focus on sleep apnea intervention [93]. In another smart furniture experiment, observers recorded engagement, laughter, speaking and listening behaviors in seated subjects and correlated them with data from chairs fitted with resistive pressure-sensing pads [94].…”

Section: Measuring User Activity Based On Driver-vehicle Interactionmentioning

confidence: 99%

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Welch

Harnett

Lee

2019

Safety

View full text Add to dashboard Cite

Using sensors to monitor signals produced by drivers is a way to help better understand how emotions contribute to unsafe driving habits. The need for intuitive machines that can interpret intentional and unintentional signals is imperative for our modern world. However, in complex human-machine work environments, many sensors will not work due to compatibility issues, noise, or practical constraints. This review focuses on practical sensors that have the potential to provide reliable monitoring and meaningful feedback to vehicle operators-such as drivers, train operators, pilots, astronauts-as well as being feasible for implementation and integration with existing work infrastructure. Such an affect-sensitive intelligent vehicle might sound an alarm if signals indicate the driver has become angry or stressed, take control of the vehicle if needed, and collaborate with other vehicles to build a stress map that improves roadway safety. Toward such vehicles, this paper provides a review of emerging sensor technologies for driver monitoring. In our research, we look at sensors used in affect detection. This insight is especially helpful for anyone challenged with accurately understanding affective information, like the autistic population. This paper also includes material on sensors and feedback for drivers from populations that may have special needs.Safety 2019, 5, 72 2 of 18 would be challenging to apply in vehicles because of noise sensitivity and data-processing requirements. Beyond engineering considerations, it would be unrealistic to expect daily drivers to apply the EEG sensor before each trip because it would be a new behavior and a time-consuming departure from the driver's routine in a world where it is already difficult to get people to wear seatbelts. Wearable sensing devices such as watches and eyeglasses that fit into a driver's established routine are more practical. Video cameras, reviewed in 2016 by Fernández et al. [1], are practical in the sense that users do not need to activate or touch them, but cameras and microphones also introduce privacy concerns and produce high bandwidth data that requires processing. New soft and textile-embedded sensor formats are promising because they can be fitted to vehicle interiors, and because they can detect safety-relevant activity using body contact data that is not as personally identifiable as video and audio streams. Figure 1 illustrates a pressure sensor for tracking a driver's grip pressure in (a) a body-worn format, and (b) a vehicle surface format. Wearable sensors such as the glove in (a) are more practical for daily use than, for example, blood sampling to measure glucose [2] or cortisol levels, or neural implants to detect brain activity in animal studies. Such invasive sampling can validate conclusions drawn from proxy signals available at the body surface, but a sensor glove is better for daily wear from the user's viewpoint. However, for this grip-tracking application, the driver would have to modify their behavior to put gloves on, would need ...

show abstract

“…In addition, Saponas et al’s presented PocketTouch, a system that enables gesture recognition on flat surfaces in wearable textiles [ 17 ]. In regard to textile interfaces in non-wearable contexts, Rus et al built a couch that facilitates touch interaction through capacitive sensing integrated into its textile surface [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

Heek

Brauner

Ziefle

2018

Sensors

View full text Add to dashboard Cite

Interactive textiles are reaching maturity. First technology augmented textiles in form of clothes and furnitures are becoming commercially available. In contrast to the close link between technological development and innovations, future users’ acceptance and usage of such interactive textiles has not been integrated sufficiently, yet. The current study investigates future users’ consumer behavior and acceptance of interactive textiles using a scenario-based conjoint analysis study, which was presented in an online questionnaire (n=324). Two prototypical interactive textiles were focused on: a smart jacket and a smart armchair. To assess the textile products, the participants had to choose the preferred product alternative consisting each of the acceptance-relevant factors “connectivity”, “input modality”, “feature range”, “usability”, and “ease of cleaning”and their respective levels. The results revealed that the “ease of cleaning” is the most important decision criterion for both textile devices (even more important for the smart jacket), followed by “feature range”, “connectivity”, and “usability”. In contrast, the “input modality” is perceived as least important. The study also identified user profiles based on the projected consumer behavior (“adopters”, “rejecters”, and “undecided”) for both products. Besides the differences in product evaluation and projected consumer behavior, the user groups are significantly influenced by the individual affinity to textiles (both products) and gender (smart jacket). The findings are used to derive design and communication guidelines referring to interactive textiles in order to incorporate users’ needs, wishes, and requirements into future products.

show abstract

E-Textile Couch: Towards Smart Garments Integrated Furniture

Cited by 13 publications

References 30 publications

A New Design Approach: Applying Optical Fiber Sensing to 3D-Printed Structures to Make Furniture Intelligent

A New Design Approach: Applying Optical Fiber Sensing to 3D-Printed Structures to Make Furniture Intelligent

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

Contact Info

Product

Resources

About