TRAQS.me
http://traqs.me
Tools for Reporting and Analysis of the Quantified Self
-- TRAQS is now ActiveOS - a Wearables Insights Platform (http://activeos.com)
This is Day 1 of the Tech-Savvy Fitness elective course I teach at the University of Michigan Medical School. Version 1.0. (uploading the Keynote version)
Personal Transformation and Making the Most of ChangeWendy Wallbridge
Presentation delivered September, 2016, exploring the following questions:
–Do you find yourself dwelling on fears, resentments or “what ifs?” more than potential opportunities?
–Are you confused about where you fit in or how you can provide the most value?
–Would you like to learn how to personally capitalize on this transformation?
This is Day 1 of the Tech-Savvy Fitness elective course I teach at the University of Michigan Medical School. Version 1.0. (uploading the Keynote version)
Personal Transformation and Making the Most of ChangeWendy Wallbridge
Presentation delivered September, 2016, exploring the following questions:
–Do you find yourself dwelling on fears, resentments or “what ifs?” more than potential opportunities?
–Are you confused about where you fit in or how you can provide the most value?
–Would you like to learn how to personally capitalize on this transformation?
Nina Kotova: El Pais article concert review of cellist Nina Kotova with actor...Nina Kotova
Performance review.
Concert review of cellist Nina Kotova's performance of The Protecting Veil of John Tavener
with actor John Malkovich in Buenos Aires. October 2016
Guion de unidades sobre (lo que se manejara como) la asignatura de evaluación docente, describiendo objetivos de cada tema y subtema, su carga horaria. Esto ubicado en quinto semestre de la carrera de pedagogia en la FES Acatlán.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXDemoS
Release Notes 1.4:
Further improvement of analysis
leanIX’ reports provide new possibilities of interactive analysis, so it is easier to sturucture the fact sheets and highlight only information that is relevant for you. You can now: select between different perspectives, adjust the coloring according to criteria, select your view based on a certain point in time, and intelligently zoom and filter.
New reports
Our reporting engine enables us to continuously extend the design and options for selection in leanIX. Additionally to the existing, we introduce following new reports: Interface Landscape, Application Portfolio Analysis and Lifecycle Metrics.
Optimization of usability
leanIX performance is improved by 25 % through a reduction of its source code and an extension of dynamic loading. Next to these advantages, we optimized the usability of leanIX: Forward and back navigation will not lose filter settings, the prior view will now be saved. Newly added tooltips provide a preview of the details of links to other fact sheets, so there is no need to jump between the fact sheets.
Free Trial: http://bit.ly/LeanIXDemoS
Cross-device tracking with Google Analytics - Thomas Danniau @ gaucBEThe Reference
Once upon a time, we only used one PC to visit a website. After a while we were using several computers and browsers to visit the same websites. A few years ago we also started using smartphones and tablets to explore the www … We are still guessing and trying to get a grip on the customer journey between all these devices. But hooray! The time that we can measure, estimate and understand the cross device usage has arrived! Learn how to understand and setup cross device measurement. What did we learn from it and what are the benefits to understand the cross device behavior of your customers?
Developing Fitness Tracking Mobile Application with Flutterriyak40
The merging of digital transformation solutions with low-code development marks not merely an advancement but a paradigm shift. This shift empowers businesses not only to endure but to flourish in the digital era, where perpetual change is the norm. By embracing low-code as a pivotal element of their digital transformation approach, companies can anticipate a future characterized by agility, customer focus, and a readiness to capitalize on all forthcoming opportunities.
Nina Kotova: El Pais article concert review of cellist Nina Kotova with actor...Nina Kotova
Performance review.
Concert review of cellist Nina Kotova's performance of The Protecting Veil of John Tavener
with actor John Malkovich in Buenos Aires. October 2016
Guion de unidades sobre (lo que se manejara como) la asignatura de evaluación docente, describiendo objetivos de cada tema y subtema, su carga horaria. Esto ubicado en quinto semestre de la carrera de pedagogia en la FES Acatlán.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXDemoS
Release Notes 1.4:
Further improvement of analysis
leanIX’ reports provide new possibilities of interactive analysis, so it is easier to sturucture the fact sheets and highlight only information that is relevant for you. You can now: select between different perspectives, adjust the coloring according to criteria, select your view based on a certain point in time, and intelligently zoom and filter.
New reports
Our reporting engine enables us to continuously extend the design and options for selection in leanIX. Additionally to the existing, we introduce following new reports: Interface Landscape, Application Portfolio Analysis and Lifecycle Metrics.
Optimization of usability
leanIX performance is improved by 25 % through a reduction of its source code and an extension of dynamic loading. Next to these advantages, we optimized the usability of leanIX: Forward and back navigation will not lose filter settings, the prior view will now be saved. Newly added tooltips provide a preview of the details of links to other fact sheets, so there is no need to jump between the fact sheets.
Free Trial: http://bit.ly/LeanIXDemoS
Cross-device tracking with Google Analytics - Thomas Danniau @ gaucBEThe Reference
Once upon a time, we only used one PC to visit a website. After a while we were using several computers and browsers to visit the same websites. A few years ago we also started using smartphones and tablets to explore the www … We are still guessing and trying to get a grip on the customer journey between all these devices. But hooray! The time that we can measure, estimate and understand the cross device usage has arrived! Learn how to understand and setup cross device measurement. What did we learn from it and what are the benefits to understand the cross device behavior of your customers?
Developing Fitness Tracking Mobile Application with Flutterriyak40
The merging of digital transformation solutions with low-code development marks not merely an advancement but a paradigm shift. This shift empowers businesses not only to endure but to flourish in the digital era, where perpetual change is the norm. By embracing low-code as a pivotal element of their digital transformation approach, companies can anticipate a future characterized by agility, customer focus, and a readiness to capitalize on all forthcoming opportunities.
Choosing apps, and wearables, and using computers and mobile devices to track your walking, running, cycling, or fitness progress to improve your health or train for an event.
TriaTriumph: A dashboard for triathletes to estimate physical fitness (draft)Tom De Buyser
This paper describes TriaTriumph, a dashboard for triathletes to estimate physical fitness. This version is still a draft. The full version will be uploaded at the end of May.
Quantified Self - The Human App InstrumentEnola Labs
The quantified self economy features several activity monitoring devices as well as hundreds of applications that can track several aspects of your life. Atomic Axis believes that the problem with these applications is that they are disparate. They function and churn data for an individual independent of the other facets of human existence. Sure, an app can tell you how long you slept last night and can even illustrate your sleep cycle in an impressive visualization and analytical interface—but can it extrapolate that information to tell you how that data will affect your mood, efficiency and behavior throughout the day?
The overall theme of their vision is that organizations are finding interesting ways to gather data and use that data to make predictions. As soon as we are able to find a meaningful way to correlate quantified self data, can we use that data in an effort to solve large scale health issues? Just as Google was able to predict flu trends using aggregated search queries, we can use aggregated health information to make certain predictions that can improve individual and certain demographic’s quality of life, reduce healthcare expenditures by understanding exactly where funds need to be allocated, and aid health professionals in their effort to detect, prevent and remediate any potential large scale health issue.
Wearable Tech Trends - Activity Trackers and Smart Watches - CES 2014 Chris Moisan
AiT makes apps and services for Sports & Fitness. We attended CES2014 and wrote up some notes to share with our team when we got home. We thought others might find these useful too. We’re mainly interested in waterproof devices and sports and fitness so it’s written from this perspective.
This deck covers the main device types, a possible market segmentation and a brief summary of each device. We’ve also included other wearable references and inspiration we spotted at CES2014.
http://activeintime.com
@chrismoisan
It's the LT presentation for Potatotips that organized by Cookpad.
This time was hold by Goodpatch that is the prominent UI/UX design company in Japan, especially in Japan and Germany.
Datadog is monitoring that does not suck. It's metrics friendly, people friendly and developer friendly monitoring.
Learn more at https://www.datadoghq.com/
presents the foundational aspects of web analytics and some specifics such as the hotel problem. Discusses trace data, behaviorism, and other cool web analytics stuff
Wearable Devices App Development: A comprehensive Guide For You! Techugo
Our wearable app development company specializes in creating innovative, user-friendly apps for a variety of wearable devices. From smartwatches to fitness trackers, we have the expertise and experience to bring your app ideas to life. Our team of talented developers and designers works closely with you to understand your unique needs and deliver a product that exceeds your expectations. Contact us today to learn more about how we can help you tap into the growing market of wearable technology.
Data driven product development approachesUXDXConf
Florian Biesinger, Staff Engineer, Spotify
Developing new systems and features we have to make decisions that might cause the whole project to fail. How can we take these decisions with confidence? How do we plan for related work? How do we measure success?
In this talk I want to give several examples of approaches that we took and reflect on how well they worked given the requirements we faced. I will cover topics such as identifying key metrics, developing towards a vision and decision making based on data.
Quantifed Self Europe 2014 - Virtual reality + QS: Ourselves, Virtually [Upda...Eric Blue
Virtual reality gives us new ways to represent ourselves with data. We’ll discuss ideas for merging virtual reality with Quantified Self, visualizing biometric data and exploring personal data models. There will be an Oculus Rift so people can experience VR first hand.
Quantifed Self Europe 2014 - Virtual reality + QS: Ourselves, VirtuallyEric Blue
Virtual reality gives us new ways to represent ourselves with data. We’ll discuss ideas for merging virtual reality with Quantified Self, visualizing biometric data and exploring personal data models. There will be an Oculus Rift so people can experience VR first hand.
LA Quantified Self Meetup (6/13) - Mood tracking with Senti.us by Erica DavisEric Blue
Senti.us - tracking my mood along with other personal metrics for about a year and a half as a part of my new venture. My coworkers and I have recently launched an iPhone app that quantifies and tracks mood data
LA Quantified Self Meetup (10/12) - Ellie's Log from Yasmin LucernoEric Blue
Presentation from Yasmin Lucerno @ the Oct Quantified Self LA 2012 meetup - Currently tracking her daughter (born in Jan) Ellie's sleep, feeding, and diaper schedule. Yasmin shares her visualizations, analysis and discoveries.
LA Quantified Self Meetup (06/12) - My Data DiscoveryEric Blue
Los Angeles, CA Quantified Self Meetup on 06/21/12
My Show & Tell talk sharing my journey and discoveries of self-tracking data I've been collecting for over 2 years.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
1. TRAQS.me Tools for Reporting & Analysis of the Quantified Self May 27th, 2011 Eric Blue Blog: http://eric-blue.com Website: http://traqs.me Twitter: @ericblue
2. What is the Quantified Self? A brief definition Personal history of self-tracking My gadgets FitBit, Withings, Zeo GPS (Qstarz) TRAQS.me My personal project to help “Track Me” Early days – data scraping (Fitbit “Hacks”) Technology overview Current features Future plans Overview 2
3. Multiple Terms The Quantified Self Personal Informatics Life Logging Self-Knowledge through numbers Analyze trends and set goals to improve yourself Recording of daily activities (fitness, sleep, geolocation) Monitoring and display of information from various devices, services, and applications You could also call it Mathematics of Personal Development 3 What is the Quantified Self?
4. [1999-2007] I started “tracking” like many average people Recording workouts and weight Started with writing down on paper Gradually evolved to spreadsheets Experimented with multiple software applications for fitness tracking (e.g. CrossTrainer.ca) 4 Personal History of Self-Tracking [1]
5. [2004-2010] A new aspect of tracking emerged with knowledge management Spent many years researching and ultimately building my own homegrown personal, semantic wiki (My Personal Memex Project) Tracking journal entries, travel logs/trips, books I’ve read, research notes, dream journals, workouts, etc. Very sophisticated, but can be high maintenance (data entry) Discovered the amazing work of Gordon Bell (“Total Recall”) and his own Memex/Tracking project – MyLifeBits This led to my discovery of the “Quantified Self” trend and a new tracking passion evolved 5 Personal History of Self-Tracking [2]
6. [2010-Present] Quantifying “Me” Jan 2010 – WiThings wireless scale for weight tracking Apr 2010 – Started using my FitBit for activity tracking Aug 2010 – Started using MyZeo for sleep tracking Oct 2010 – Started using DailyBurn for calorie counting All this data! Now what to do with it?? 6 Personal History of Self-Tracking [3]
7. Fitbit – http://www.fitbit.com Used for overall fitness tracking Total steps, distance, calories burned Logging ‘activities’ / workouts Occasional sleep tracking Use premium analytics for goal setting 7 My Gadgets - FitBit
8. WiThings – http://withings.com Used for weight management Wireless “Wi-Fi” enabled scale Tracks weight (lbs) Tracks body composition (fat %, BMI) Frequently use iPhone app to monitor progress and trends 8 My Gadgets – WiThings Scale
9. My Zeo – http://myzeo.com Used for sleep tracking Tracking overall sleep health ZQ score Tracks total time spent sleeping Breaks down normal/deep/REM sleep 9 My Gadgets - Zeo
10. Qstarz - http://www.qstarz.com/ Used for location tracking Stores GPS coordinates every 5 secs Gets precise latitude, longitude Speed and elevation data Saves waypoints and track data Tracking since 9/2010 – 700K coordinates! 10 My Gadgets – Qstarz GPS
11. My personal project to help “Track Me” Tools for Reporting & Analysis of the Quantified Self (me) Consolidates data from various devices and services Performs analysis on data and provides visualizations and reports 11 TRAQS.me – Overview
12. I have all these gadgets, now how do I get the data?! Having a copy of my own data is key. Wrote “scripts” and API wrappers to download FitBit In April 2010 there was no API and I created my own (“Fitbit Hacks”) project – Perl API (GitHub+ CPAN). Created an unofficial CSV export feature Fitbit now has an official API. Zeo Open/Documented API Wrote Perl MyZeo API (GitHub) Withings Open/Documented API Wrote perl script to download (not published yet) 12 TRAQS.me – Early Days
13. OK, I have data, now what to do with it?! Woke up, jumped out of bed and had my “epiphany” of my own Fitness Tracking program 13 TRAQS.me – Technology Overview [1]
14. Data collection scripts Primarily written in Perl using API wrappers I’ve created Data storage Store all data in MySQL; Easy to write SQL and generate reports Web Interface / Presentation Java-based: Spring 3.X, Tomcat Google for Visualization and Maps 14 TRAQS.me – Technology Overview [2]
15. Dashboard Historical stats Activity score, calories burned, distance, sleep, etc. Chart and bar graph visualizations Daily Snapshot of the day Geolocation GPS track stats and track log using Google Maps Intraday stats Hourly charts for activity and sleep data 15 TRAQS.me – Feature [Dashboard]
19. 19 TRAQS.me – Feature [Dashboard] 4 Intraday stats Hourly breakdown for activity and sleep
20. 20 TRAQS.me – Feature [Reports] Reports Table data (Google Visualization) for SQL generated reports Activity reports Breakdown by year/month/day Fitness records Geolocation reports Geo analysis to find “top places” and tally total visits and last visited Reverse geocoding to lookup addresses Weight reports
23. 23 TRAQS.me – Feature [Maps] Maps Query “Top Places” and filter based on latitude/longitude or GeoHash precision Can find places that I stay at for more than x minutes Proximity searching for Top Places and tracks Click on a point on the map or input a name, select the RADIUS, and dates last visited will be marked View tracklog for a given date Plot as a polyline or as individual markers with date/time, speed, elevation and address info Ability to specify density of points and other filtering options
26. 26 TRAQS.me – Future Plans Goal #1: Build the Tool for myself Features Integration with other devices Garmin heart rate monitor Import MyZeo sleep data Import workout data from iFitness application and my previous workout software Many more visualization options and reports Goal setting, motivation and behavior Releasing to the public Release certain features and code as open source Considering social website/service Considering future market needs and solutions
27. 27 TRAQS.me – Additional Info Blog My blog is a mixture of posts on technology, personal development, knowledge management, philosophy, mind mapping, and self tracking Visit http://eric-blue.com Twitter @ericblue Website Contains this presentation and links to a demo (coming soon) Check back often for updates: http://traqs.me