BRIX &amp;#x2014; An easy-to-use modular sensor and actuator prototyping toolkit

Zehe, Sebastian; Grosshauser, Tobias; Hermann, Thomas

doi:10.1109/percomw.2012.6197624

Cited by 10 publications

(11 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modules stream their raw data to a PC over a serial link, making it available to other applications, and can run up to five days on a standard coin battery. Aiming at lowering the threshold of technical skills required for hardware development, BRIX [23] provides modular electronics embedded into Lego bricks while "Blades and Tiles" [21] presents a library of reusable hardware components. These works provide hardware modularity as a means to simplify prototyping.…”

Section: Related Workmentioning

confidence: 99%

Rapid Prototyping Internet of Things Applications for Augmented Objects: The Tiles Toolkit Approach

Gianni

Mora

Divitini

2018

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Designing and prototyping for IoT have historically required a diverse range of skills and a set of tools that individually supported only a fraction of the whole process, not being designed to work together. These tools usually require a certain level of proficiency in design methods, programming or electronics, depending on the phase addressed. Previous works on the Tiles Ideation toolkit and the RapIoT software framework demonstrated how the design phase can be democratized and how a simple programming paradigm can make coding for IoT a task accessible to non-experts. With this work we present and evaluate the process and the technologies involved in the programming and prototyping phase of an IoT application. The Tiles Square and the Tiles Temp are introduced, these two electronic devices complement and support IoT prototyping. They are designed to work in conjunction with the Tiles Ideation toolkit and are supported by the RapIoT software framework, allowing non-experts to augment and program everyday objects. We illustrate the potential of this approach by presenting the results obtained after workshops with 44 students. We conclude by discussing strengths and limitations of our approach, highlighting the lessons learned and possible improvements.

show abstract

Section: Related Workmentioning

confidence: 99%

Rapid Prototyping Internet of Things Applications for Augmented Objects: The Tiles Toolkit Approach

Gianni

Mora

Divitini

2018

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…BRIX 2 (Zehe et al, 2012) consists of a base module that can be combined with optional extension modules (Fig. 1).…”

Section: System Model 31 Hardware Designmentioning

confidence: 99%

An Adaptive Acknowledgement On-demand Protocol for Wireless Sensor Networks

Sang

Hesse

Zehe

et al. 2017

Proceedings of the 6th International Conference on Sensor Networks

Self Cite

View full text Add to dashboard Cite

Abstract:The concept of packet acknowledgement in wireless communication networks is crucial for reliable data transmission. However, reliability comes with the cost of an increased duty cycle of the network. This is due to the additional acknowledgement time for every single data packet sent. Therefore, energy consumption and latency of all sensor nodes is increased whilst the overall throughput in the network decreases. This paper contributes an adaptive acknowledgement on-demand protocol for wireless sensor networks with star network topology. The goal is to tackle the trade-off between energy efficiency and reliable data transmission. The proposed protocol is able to detect network congestion in real time by constantly monitoring the overall packet delivery ratio for each sensor node. In case the packet delivery ratio of any sensor nodes in the network is dropped significantly (e.g. due to environmental changes), the protocol switches automatically to a more reliable data transmission mode utilizing acknowledgements concerning the affected sensor nodes. Our proposed method is tested and evaluated based on a specific hardware implementation and the corresponding results are discussed in this paper.

show abstract

“…Every user wears a video see-through head-mounted display. Additionally, all users are equipped with an inertial sensor for head movement tracking from the BRIX toolkit [6] and a headset as depicted in Figure 2. The input of the cameras inside the HMD is augmented by our AR-core system [7] and fed back to the user.…”

Section: System Overviewmentioning

confidence: 99%

Interaction analysis and joint attention tracking in augmented reality

Neumann

Schnier

Hermann

et al. 2013

Proceedings of the 15th ACM on International Conference on Multimodal Interaction

Self Cite

View full text Add to dashboard Cite

Multimodal research in human interaction has to consider a variety of factors, ranging from local short-time phenomena to complex interaction patterns. As of today, no single discipline engaged in communication research offers the methods and tools to investigate the full complexity continuum in a time-efficient way. A synthesis of qualitative and quantitative analysis is required to merge insights about micro-sequential structures with big data patterns. Using the example of a co-present dyadic negotiation analysis to combine methods offered by Conversation Analysis and Data Mining, we show how such a partnership can benefit each discipline and lead to insights as well as new hypotheses evaluation opportunities.

show abstract

BRIX — An easy-to-use modular sensor and actuator prototyping toolkit

Cited by 10 publications

References 4 publications

Rapid Prototyping Internet of Things Applications for Augmented Objects: The Tiles Toolkit Approach

Rapid Prototyping Internet of Things Applications for Augmented Objects: The Tiles Toolkit Approach

An Adaptive Acknowledgement On-demand Protocol for Wireless Sensor Networks

Interaction analysis and joint attention tracking in augmented reality

Contact Info

Product

Resources

About