Lab of things

Brush, A. J. Bernheim; Filippov, Evgeni; Huang, Danny Yuxing; Jung, Jaeyeon; Mahajan, Ratul; Martinez, Frank; Mazhar, Khurshed; Phanishayee, Amar; Samuel, Arjmand; Scott, James R.; Singh, Rayman Preet

doi:10.1145/2494091.2502068

Cited by 22 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…capturing an image from a door camera and sending it to the user when someone rings the doorbell). Lab-of-things [64] is a platform built for experimental research. It allows the user to easily connect hardware sensors to the software platform and enables the collection of data and the sharing of data, codes, and participants.…”

Section: B Smart Homementioning

confidence: 99%

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

Perera

Liu

Jayawardena

2015

IEEE Trans. Emerg. Topics Comput.

475

211

View full text Add to dashboard Cite

Abstract-The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such as Radio-frequency identification (RFIDs), sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Over the last decade, we have seen a large number of the IoT solutions developed by start-ups, small and medium enterprises, large corporations, academic research institutes (such as universities), and private and public research organisations making their way into the market. In this paper, we survey over one hundred IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications. More importantly, we identify the trends, opportunities and open challenges in the industry-based the IoT solutions. Based on the application domain, we classify and discuss these solutions under five different categories: smart wearable, smart home, smart, city, smart environment, and smart enterprise. This survey is intended to serve as a guideline and conceptual framework for future research in the IoT and to motivate and inspire further developments. It also provides a systematic exploration of existing research and suggests a number of potentially significant research directions.

show abstract

Section: B Smart Homementioning

confidence: 99%

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

Perera

Liu

Jayawardena

2015

IEEE Trans. Emerg. Topics Comput.

475

211

View full text Add to dashboard Cite

show abstract

“…In order to alleviate the technical challenges of deployment, we leveraged the open source Lab of Things software platform developed by Microsoft Research [1,2]. This allowed us to focus on analysis of sensor data and development of a real time visualization application.…”

Section: Lab Of Things As a Deployment Platformmentioning

confidence: 99%

“…The HomeHub connects to the cloud-side component of Lab of Things for data storage and central management. This allows Lab of Things to monitor, update, and remote access deployment systems across multiple environments [1,2]. The Lab of Things is in early use across various academic and applied projects [7].…”

Section: Lab Of Things As a Deployment Platformmentioning

confidence: 99%

“…We report the deployment of commercially available sensors within a multi-person residence using the Lab of Things platform for connected devices [1,2]. Lab of Things is a software platform that reduces the burden of deploying sensor systems across different environments while also serving as a central hub to manage connected devices, store data and analyze data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices

Bock

Demiris

Choi

et al. 2016

THC

Self Cite

View full text Add to dashboard Cite

Abstract. BACKGROUND:The use of smart home sensor systems is growing primarily due to the appeal of unobtrusively monitoring older adult health and wellness. However, integrating large-scale sensor systems within residential settings can be challenging when deployment takes place across multiple environments, requiring customization of applications, connection across various devices and effective visualization of complex longitudinal data. OBJECTIVE: The objective of the study was to demonstrate the implementation of a smart home system using an open, extensible platform in a real-world setting and develop an application to visualize data real time. METHODS:We deployed the open source Lab of Things platform in a house of 11 residents as a demonstration of feasibility over the course of 3 months. The system consisted of Aeon Labs Z-wave Door/Window sensors and an Aeon Labs Multi-sensor that collected data on motion, temperature, luminosity, and humidity. We applied a Rapid Iterative Testing and Evaluation approach towards designing a visualization interface engaging gerontological experts. We then conducted a survey with 19 older adult and caregiver stakeholders to inform further design revisions. RESULTS: Our initial visualization mockups consisted of a bar chart representing activity level over time. Family members felt comfortable using the application. Older adults however, indicated it would be difficult to learn to use the application, and had trouble identifying utility. A key for older adults was ensuring that the data collected could be utilized by their family members, physicians, or caregivers. CONCLUSIONS: The approach described in this work is generalizable towards future smart home deployments and can be a valuable guide for researchers to scale a study across multiple homes and connected devices, and to create personalized interfaces for end users.

show abstract

“…Researchers and practitioners should, therefore, "go in the wild" and experiment their systems in real settings, thanks also to the great availability of commercial Internet of Things devices. Some inspiring works and examples about this topic are Lab of Things by Brush Bernheim et al [14], the CASAS Project by Cook et al [16] and the Energy@Home project Corgnati et al [19].…”

Section: Design For Positive Behavior Changesmentioning

confidence: 99%

Designing for user confidence in intelligent environments

Corno

Guercio

Russis

et al. 2015

J Reliable Intell Environ

View full text Add to dashboard Cite

Intelligent environments aim at supporting and assisting users in their daily activities. Their reliability, i.e., the capability of correctly accomplishing the intended tasks and of limiting or avoiding damage in case of malfunctions, is essential as for any user-facing technology. One aspect of reliability, often neglected, is guaranteeing the consistency between system operation and user expectations, so that users may build confidence over the correct behavior of the system and its reaction to their actions. The paper will review the literature concerning methodologies and tools that directly involve users and have been specifically applied or adopted for intelligent environments, throughout the entire design flow-from requirements gathering to interface design. The paper will then propose, building on top of the previous analysis, a set of guidelines that system designers should follow to ensure user confidence in their intelligent environments.

show abstract

Lab of things

Cited by 22 publications

References 1 publication

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices

Designing for user confidence in intelligent environments

Contact Info

Product

Resources

About