Archive for the ‘Sensing’ Category

IBM to Make Iowa City Smart(er)

Wednesday, October 21st, 2009

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It’s great to see major technology companies like Microsoft, Google and IBM place an emphasis on finding solutions to mitigate climate change. These companies have some very talented engineering staff that could likely make a big difference. Recently, IBM has poured a lot of money into marketing their “smarter cities” program. The website, unfortunately, reads like a giant heap of cleantech-utopia used-car salesman babble. “Safe neighborhoods. Quality schools. Affordable housing. Traffic that flows. It’s all possible…” with IBM! Case in point, this lovely vacuous pitch about IBM’s vision for “Smarter Cities.”



However, the New York Times recently detailed an IBM Smarter Cities program that is, apparently, more than just hype: they are starting a project in Dubuque, Iowa that, “over the next several years will use sensors, software and Internet computing to give the city’s government and citizens the digital tools to measure, monitor and alter the way they use water, electricity and transportation.”

From the article:

I.B.M. already has a number of computer-services projects with cities around the world, from traffic management systems in Stockholm and London to a smart-grid electricity system in Amsterdam, to water management in Shenyang, China. A goal in each is to conserve resources and reduce energy consumption and carbon emissions.

The Dubuque effort stands out not only because it is in the United States, but also because it marks I.B.M.’s most comprehensive approach to these digitally enhanced public services — water, electricity and transportation. “We’re trying to make Dubuque into the first integrated, smart city,” said Robert Morris, vice president of services research at I.B.M.

The benefits, Mr. Morris added, could well extend beyond water, electricity and transportation. For example, housing development and traffic management could be modeled and policies adopted for other goals like “making sure you have a walkable city.”

The first phase will involve installing digital water and electricity meters in 250 homes and businesses. The smart water meters include special low-flow sensing technology from a local manufacturer, A.Y. McDonald, that will help the public works department and residences reduce water use and detect leaks. An estimated 30 percent of households use water unnecessarily because of undetected leakage in faucets and toilets.

The smart electric meters will help households track their energy use and conserve. They will be able to tap into a Web site and, for example, set household temperatures a few degrees cooler in the winter or warmer in the summer — and model the savings in energy use and monthly bills.

Sounds very technocentric but worth keeping an eye on. In particular, the water sensing stuff seems very relevant to our recent work with HydroSense–a water sensing system that can identify water usage down to the source (e.g., dishwasher, kitchen sink). We have also begun looking at leak detection and identification.

“Smart cities” have recently also emerged as a topic of academic inquiry–the key idea being that traffic sensors, cameras, and even mobile phones all potentially provide data that can be used to understand and model the city. We did a bit of this work on shared bicycling–i.e., what does shared bicycling data reveal about a city? Marcus Foth has a book called Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City, which is a collection of essays on “smart cities” research. The senseable city lab directed by Carlo Ratti is also a great place to check out for work in this area.

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Sensing and Predicting the Pulse of the City through Shared Bicycling

Friday, July 17th, 2009

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I just got done presenting at IJCAI09 on the shared bicycling research I conducted while a visiting researcher in the summer of 2008 at Telefonica Research in Barcelona, Spain. This is joint work with Joachim Neumann and Nuria Oliver (both of Telefonica Research). You can download the talk (PowerPoint slides) here.

Community shared bicycling programs offer an environmentally friendly, healthy, and inexpensive alternative to automobile transportation. Recent technological advances have led to a third generation shared bicycling system whose real-time usage data can be collected, archived, and analyzed. Currently, there are over forty such programs in the world including SmartBikeDC in Washington D.C. and Vélib’ in Paris, which has 20,000 bicycles and 1,450 stations (approximately 1 station every 300 meters). Barcelona’s shared bicycle program, Bicing, was launched in March of 2007. It currently has 390 stations with 6,000 bicycles and over 150,000 yearly subscribers.

Abstract
City-wide urban infrastructures are increasingly reliant on network technology to improve and ex-pand their services. As a side effect of this digitali-zation, large amounts of data can be sensed and analyzed to uncover patterns of human behavior. In this paper, we focus on the digital footprints from one type of emerging urban infrastructure: shared bicycling systems. We provide a spatiotemporal analysis of 13 weeks of bicycle station usage from Barcelona’s shared bicycling system, called Bicing. We apply clustering techniques to identify shared behaviors across stations and show how these behaviors relate to location, neighborhood, and time of day. We then compare experimental results from four predictive models of near-term station usage. Finally, we analyze the impact of factors such as time of day and station activity in the prediction capabilities of the algorithms.

Some pictures (with captions) from the talk:
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Our focus was on utilizing existing urban infrastructure to sense data about human behavior that is *freely* available (e.g., not proprietary data but data that we can freely access). In this case, we use shared bicycling usage to uncover spatiotemporal patterns of human mobility in the city of Barcelona.

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We have reached a pivotal point in time where city infrastructures are transitioning from mechanical/analog systems to digital systems thereby creating digital traces of human activity. Bruno Latour notes the potential to access the masses of data that are of the same order of magnitude as that of the natural sciences.

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Our main contributions were: (1) demonstrating the potential of using shared bicycling as a data source to gain insights into city dynamics and aggregated human be-havior; (2) exploring the relationship between spatiotemporal patterns of bicycle usage and underlying city behavior and geography; and (3) studying patterns in bicycle station usage, including the prediction of usage patterns and an analysis of how factors such as the time of the day affect this prediction.

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We obtained our data by scraping the bicing website once every two minutes. We downloaded station geolocation information as well as the number of current free parking spots and number of currently available bicycles.

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One of our motivations to explore prediction was the fact that 66% respondents to an online survey about Bicing stated that they had difficulty finding a free parking slot when trying to drop off a bicycle. This is a major impediment to Barcelona residents adopting Bicing as a primary form of transportation as searching for a station with a free parking spot takes time. Indeed, 50% of respondents avoid Bicing when they are traveling to a place where they must be on time.

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We used dendrogram clustering on station temporal usage data to see how Bicing usage patterns are shared across the city. We also explored how our prediction algorithms performed in relation to these clusters.

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One longterm goal of our work is to explore ways to make shared bicycling more self-sustainable. Current shared bicycling systems rely on trucks to load balance the bicycles (i.e., to make sure they are well distributed throughout the city). We are looking at ways to incentivize bicing users to drop off/pick up bicycles slightly out of their way to reduce the maintenance/operating overhead on the city. A mobile phone application could recommend a station close to a user’s final destination that is predicted to have a need for bicycles.

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This work would not have been possible without my colleagues Joachim Neumann and Nuria Oliver. Joachim, in particular, worked tirelessly on this project for six months and was absolutely essential to many parts of the project including data logging, model building, and evaluation.

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HydroSense in BPC Sweet Sixteen

Thursday, April 30th, 2009

HydroSense just made it into the third and final round of the University of Washington Business Plan Competition. After winning the Environmental Innovation Challenge, we added three new members to our team, all of which are UW MBA students: Vandan Parikh, Debbie Tran and Zach Okun.

This year, the BPC had over 90 entries from 10 universities in Washington State; 33 of these teams were selected to advance to the “Investment Round.” There were around 200 judges at this event, lasting from 1-5PM on Tuesday. A week prior, each judge received a one-page executive summary for each team. At the event, judges received $1,000 CIE dollars to invest in a minimum of five teams. Judges walked around the room, talked with teams and looked over their displays. The top sixteen teams were announced at a small ceremony at the end of the night (around 6:30PM).

Here’s a quick write-up in TechFlash.

Some pictures from the BPC Pitch Round:

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HydroSense Wins UW Environmental Innovation Challenge

Thursday, April 2nd, 2009

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Last night, HydroSense won the $10,000 grand prize in the 2009 UW Environmental Innovation Challenge. The HydroSense team is composed of undergraduate and graduate students in the College of Engineering and the College of the Environment and advised by UW CSE faculty members Shwetak Patel, James Fogarty, and James Landay. The team members include: myself (Jon Froehlich, CSE grad student), Kate Everitt (CSE grad student), Tim Campbell (MechE undergrad), Conor Haggerty (Community, Environment and Planning undergrad), Jianlei Shi (EE grad student), Alex Horton (EE undergrad), and Rahber Thariani (grad in BioE).

HydroSense in the Press

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San Francisco Schools Pilot Program: Mobile Carbon Tracker

Monday, March 16th, 2009

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KQED recently did a story on a pilot program in San Francisco where high school students are given Nokia cell phones to test a mobile carbon tracking system.

The way the San Francisco pilot program works is like this: students get a mobile phone equipped with a GPS maps application. They fill out a profile with the make and model of the cars they use. The cell phone monitors movement, so it picks up when that student is making a car trip. The server factors in the time of day, the weather and humidity, and the type of car the student is riding in – and then calculates the amount of carbon output that trip represents.

The program currently doesn’t differentiate between cars and other forms of transportation – bikes, ferries, trains, carpools, buses – so students may need to note when those trips were not regular car trips. The final number is their carbon rating.

When the program expands to three other San Francisco schools at the end of March 2009, a competition will be formed between the high schools to see which group of 25 students can cut back the most on their car trips and carbon output.

That will help answer the question of how much pollution people can save just by altering transportation behavior. And hopefully, the participants here are young enough that those transportation choices might continue after the program has ended. Once they get used to walking or biking, for instance, maybe they’ll make that a regular form of transportation.

Note that this is similar to the UbiGreen Mobile Transportation display; however, in that project we did not use GPS instead opting for a sensing platform that was capable of inferring walking, running, and bicycling in addition to driving in a vehicle.

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Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption

Thursday, March 12th, 2009

I recently wrote a paper for the CHI2009 Workshop: Defining the Role of HCI in the Challenges of Sustainability. The paper is entitled Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption (download it here).

Abstract

Most people are unaware of how their daily activities affect the environment. Previous studies have shown that feedback technology is one of the most effective strategies in reducing electricity usage in the home. In this position paper, we expand the notion of feedback systems to a broad range of human behaviors that have an impact on the environment. In particular, we enumerate five areas of consumption: electricity, water, personal transportation, product purchases, and garbage disposal. For each, we outline their effect on the environment and review and propose methods for automatically sensing them to enable new types of feedback systems.

I had two primary goals in mind while writing this paper:

  1. to inform the reader, particularly HCI practicioners and researchers, about the ways in which environmentally impactful human behaviors can be sensed
  2. to inspire thinking about ways in which these new types of sensor data may be aggregated, analyzed, and fed back to the individual in order to increase awareness about environmentally impactful activities and motivate sustainable behaviors.

Needless to say, a paper such as this begs the question, even if we can automatically sense human activities that impact the environment, should we? Whenever we talk about sensing and automatic detection, Orwellian fears come to mind. These fears are certainly justified. My hope would be that human behavior data need not go beyond the user’s own device. This does not all together eliminate the problem (e.g., the device could be compromised) but certainly mitigates it. A better question is, perhaps: is sensing/feedback technology an effective strategy in reducing consumption? Prior studies in energy feedback technology have demonstrated that providing information about energy use to residents does often reduce consumption. Will this translate to other domains? What are the most effective ways in providing feedback? Does the feedback have to be persuasive or can it simply be informational? For other questions like these, see the paper.

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New iPhone Carbon Tracking App: Clear Standards’ Carbon Tracker

Tuesday, January 27th, 2009

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In what is likely to be the first of many iPhone applications that use the built-in GPS to assist with carbon calculations, Clear Standards has released a free iPhone app called “Carbon Tracker.” As I don’t have an iPhone, I cannot evaluate this application directly but I will offer a few thoughts.

First, as previously mentioned on this blog, the iPhone does not allow applications to run in the background. Thus, I would speculate that in the case of this “Carbon Tracker” application, the user would have to explicitly launch it and have it running as the top level application in order to automatically log trips via GPS. As a result of this constraint, the GPS functionality will likely be underutilized. Not to mention the set of technical challenges relating to how the GPS data is cleansed and segmented into trips as well as user tolerance for inaccurately deduced travel estimations. See my paper with John Krumm on automatically converting car GPS data to the more semantically meaningful “trip” here (specifically, the section entitled “From GPS Data to Trips”).

Second, because the “auto-trip” functionality will likely be undermined by the iPhone’s background process restriction, users will have manually log their trip data in order to produce accurate carbon counting information. In my opinion, a user would have to be extremely motivated to open “Carbon Tracker” and enter such comprehensive trip data.

Finally, what incentives outside of a personal commitment to reducing carbon emissions does one have to use this application? What sort of user will be motivated to maintain accurate records for an indefinite amount of time–would even the most sensitive environmentalist use this application once the novelty wore off replaced by the tedium of manually entering such data? My guess is that Clear Standards has an enterprise version of this application which could rely on corporate policies to enforce usage (e.g., for record keeping purposes). This seems to be supported (and implied) by Richard Mendis, co-founder of Clear Standards:

Although Clear Standards is known for developing carbon management software for businesses, we recognize the important role of individuals in helping to reduce greenhouse gas emissions… The Carbon Tracker iPhone app…engages individuals as part of our overall carbon management and sustainability solutions.

See also related posts:

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greenMeter: Using the iPhone’s Built-in Accelerometer to Calculate Fuel Efficiency

Tuesday, December 9th, 2008

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Last week I posted about Mobile Applications that Monitor Transportation activity like ecorio, Carbon Diem and UbiGreen. greenMeter is an iPhone application that computes fuel usage and driving characteristics based on the iPhone’s built-in accelerometer (the New York Times has a nice write-up on other iPhone car applications).

From the greenMeter website:

greenMeter is an app for the iPhone and iPod Touch that can compute your vehicle’s power and fuel usage characteristics, and help evaluate your driving style to increase efficiency, reduce fuel consumption and cost, and lower your environmental impact. Based on the gMeter vehicle performance app, greenMeter uses the device’s internal accelerometer to measure forward acceleration and compute engine power, fuel economy, fuel cost, carbon footprint, and oil (barrels) consumption.

One has to wonder how accurate the iPhone’s accelerometer is in order to correctly track fuel efficiency. The New York Times explains:

Getting accurate results depends largely on the accuracy of the variables you tap in before using the program. Some are easy, like the per-gallon cost of fuel (diesel or gas), weather conditions and the vehicle’s total weight, which means factoring in your own as well as that of any passengers. (The car’s weight is usually listed in the owner’s manual).

Other required variables are not so easy to produce. Drag coefficient? Rolling resistance? Those numbers are rarely on the tip of the tongue of any but the most passionate driving enthusiasts.

One major hang-up with using such an application on the iPhone is that it must be explicitly started every time you begin a trip. This is a limitation of the iPhone itself–processes aren’t allowed to execute in the background. Ideally, an application such as this could run in the background (as a very low priority process) until “vehicle travel” was detected. Otherwise, how many of us would remember (or would be diligent enough) to start this application every time we get in our cars? For UbiGreen 2.0, We are currently working on using the iPhone/Android’s internal accelerometer to automatically disambiguate transportation modes (e.g., bus vs. train) as well as to see if we can accurately detect the car door that a person enters/exits.

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The Power-Aware Cord: Energy Awareness Through Ambient Information Display

Sunday, December 7th, 2008

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Anton Gustafsson and Magnus Gyllenswärd from the Interactive Institute in Sweden created the “Power-Aware Cord” to display information about energy usage through the cord itself. From the CHI2005 paper abstract:

The ‘Power-Aware Cord’ is a re-design of a common electrical power strip that displays the amount of energy passing through it at any given moment. This is done by dynamic glowing patterns produced by electroluminescent wires molded into the transparent electrical cord. Using this fully functional prototype, we have been investigating how such ambient displays can be used to increase energy awareness. An initial user study indicates that the Power-Aware Cord is a very accessible and intuitive mean for better understanding energy consumption. Future work includes further development of the mapping between load and visual pattern and in-depth studies of user perception and learning over time.

Three things strike me as most interesting about the “Power-Aware Cord.” First, as the authors themselves point out, the user interface is the same as for any ordinary electrical power strip, but augmented with a dynamic visualization that reveals the current use of electricity via glowing pulses, flow and intensity of light. Second, unlike most feedback technology for the home, the “Power-Aware Cord” is highly localized–at the power outlet–so, although multiple cords would be required to fully instrument the home, one quickly gets a sense of what appliances are the most power hungry. Finally, the authors argue that “using light is a more natural and intuitive way of symbolizing energy than Watts on a numerical display.” However, there is no reason to use one exclusively over the other–as I’ve indicated before, people tend to react emotionally to abstract displays (and abstract displays can be designed for engagement); however, many people also want to know quantitative measures so that they can see how well they are performing (e.g., saving energy).

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Nokia Wants to be your Smart Home Portal

Wednesday, December 3rd, 2008

Nokia Smart Home

From Nokia:

Nokia Home Control Center – My home is where my phone is. Nokia Home Control Center is a solution based on an open Linux based platform enabling the home owner to build a technology-neutral smart home that can be controlled with a mobile phone, using a unified user interface. Nokia Home Control Center supports the most common smart home technologies, including Z-Wave as well as enabling the incorporation for proprietary technologies. Thus, it allows third parties to develop their own solutions and services on top of the platform, expanding the system to support new services and smart home technologies.

From CNET News:

Wouldn’t it be nice if you could manage all your home appliances, electronics, entertainment, and security, plus your climate control system, from your mobile phone? That is exactly what Nokia is promising with its Home Control Center solution.

The beauty of this Linux-based platform is its comprehensive compatibility with most existing smart home technologies. This allows a unified user interface for these competing offerings which can be conveniently accessed from a mobile phone and Web browser.

Though detailed implementation of the Nokia Home Control Center is sketchy at the moment, the system seems to be centered on a miniature gateway (PDF) featuring Wi-Fi, GSM, GRPS, and Z-Wave wireless connectivity.

Another function that caught our attention was its remote access capability. This should give users the added convenience of accessing their home gadgets from the office, in the car on the way home, etc. That’s not all. Did we mention Web, media and e-mail server expansion options, as well?

At BECC, there was a lot of interest in utilizing the cell phone as an access point to energy information; however, many of these solutions seem to be a long way off. One quick and easy approach is simply to create a mobile-phone compatible design of a “home internet portal.” However, the mobile phone, as a device that is nearly always with us, close and personal, could offer so much more than a mobile browser of data from personalized information to real-time alert functionality. Certainly, the mobile phone seems relevant to any discussion of monitoring transit activity–does this relevancy translate to all aspects of our carbon footprints?

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