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My new online chess setup: using eye tracking to make moves

Here is a video of my new setup: https://www.youtube.com/watch?v=QuMXI4jEtHw
Due to connective tissue problems throughout my body from taking an antibiotic called a fluoroquinolone 2.5 years ago, using my fingers on the trackpad is painful, and so is using a mouse and clicking. For a while, I used Dragon Nuance speech-to-text software to speak the piece letters and coordinates of the squares into my chess program, and here is that video: https://www.youtube.com/watch?v=jHgRjZmxYKE. When using my voice to make my moves, I was losing a lot of 15-minute games due to time pressure, and speaking my moves was frustrating. As a result, I set up a system using my eyes. In this post, I am going to explain which items I purchased and why. I will also provide price approximations but these might change over time.
First, I needed a way to track my eyes so that the computer recognized my movements for the mouse. There are expensive options as consumer products for people with severe disabilities through Tobii. There are two main options for developers around the $100 price point: the Tobii EyeX, and an alternative called the Eye Tribe Tracker by a team in Copenhagen. I went with the Eye Tribe device because I liked that they are kind of the underdog in the field, the accompanying software seemed really easy to set up, and the device also comes at a slightly lower price point. I did express shipping and received the product within three days. Downloading the software was as simple as logging into my account I made when I bought the device and clicking a couple buttons. Setting up the device was straightforward and involved using my eyes to follow blinking dots around the computer screen so the sensor could get the gist of my eyes. There is also a console for programming on my computer, but I’m not a developer.
Second, I needed a way to be able to look at my computer. Because I’m in a lying down position I would need to angle the computer towards my eyes and above my chest. I hoped to use my MacBook Pro initially, but it is from early 2011 and there is no USB 3.0 port, and it is also a little broken. The eye tracking software I purchased only works with USB 3.0, not the slower USB 2.0. I also had an old netbook from 2011, but it only had USB 2.0. So, I needed a new computer. I considered buying my roommate’s laptop computer that ran Windows 8.1. For a computer, I would have had to buy a rolling mount which seemed expensive, and the idea of having a heavy computer over my head and body that might fall was a bit scary. Instead, I decided to buy a tablet. I wasn’t sure exactly which tablet I would buy, but there was one tablet stand that seemed better than the rest. For just under $200, this stand is extremely flexible and easy to maneuver, yet the base is very sturdy and the tablet is very secure. While I don’t really care about how physical things look usually, the gunmetal color and the texture of metal is very visually appealing. I bought it on Amazon, but you can also buy the stand on the company’s website. In addition to tablets, the stands can hold books. It is called the Levo Deluxe iPad Floor Stand.
Finding an acceptable tablet was a lot harder than I expected. The computer needed to run Windows 8 or Windows 7 (or 8.1 which is like an extension of 7 from a free upgrade is my understanding of it), or Mac OSX. The iPad doesn’t run OSX so I needed to get a Windows computer. The Eye Tribe Tracker isn’t yet available for Android, but it should be in the spring of 2015. Android would have been a good choice because there are quite a few tablets with USB 3.0. Android tablets also seemed less expensive. In contrast, the vast majority of tablets running Windows only have USB 2.0 despite the fact most computers have USB 3.0. I found a tablet I liked for around $350 with USB 3.0, but on further inspection the USB 3.0 port was actually in the keyboard that needed to be attached and therefore could not work on my stand: ASUS Transformer Book T100TA. Here is a good list of Windows tablets: http://techblog.tv/best-windows-8-tablet-comparison-chart-2012-2013-vs/.
After a lot of Google searches and Amazon searches, it became clear that the Microsoft store was my best bet. The Microsoft Surface 2 does not run Windows 7 or Windows 8, but rather something called RT which focuses on applications. My decision was between the Microsoft Surface Pro 2 and 3. The second version is slightly smaller but still over 10 inches. The third version has improved features and is 12 inches with the screen about 11 1/2 inches. I was concerned that the Pro 3 might not fit on the stand because this stand is advertised for 11 inch tablets, but when I emailed the company to make sure the tablet would be compatible with their stand, they assured me it would still fit. I even tested out a Surface Pro 3 on my tablet stand before I made my purchase. The fit was a little snug, but I’m pretty sure I will appreciate the extra screen size. If I wanted to wait a month, the Surface 3 (not the Pro edition) is $600 for the 128 GB version, as opposed to what I purchased for $1000 for 128 GB. Yet, this new tablet doesn’t release until May 5, and I’m looking forward to some of the features on the Pro version. It is expensive and I took a long time deciding to purchase this tablet, but I’m hoping it works out.
To attach the sensor to the stand, I’m currently using string. I’ve seen 3-D printed pieces to help with this challenge. I could probably glue the sensor to the tablet stand, but I kind of want to shift my tablet between landscape and portrait. So it might make sense to put some Velcro on the back of the sensor as well as on the tablet stand in the two different places I would put the sensor for portrait and landscape.
I play chess on the Internet Chess Club. There is a subscription cost, but I believe the competition is higher quality, people quit games less often, and people try harder when they are paying money for something. I also like the different pools of players (5-minute, 15-minute, and 45-minute). Alternatively, chess.com is a good free option especially for correspondence chess. I know a lot of people like lichess for speed chess, and gameknot for correspondence.
Because I’m looking at the computer screen all day, f.lux is a free application for Mac, Windows, as well as Linux which reduces brightness and makes it easier on my eyes.
My projector from Brookstone is attached to my MacBook Pro and aimed onto the ceiling. For the past three months, along with Dragon Nuance speech to text software, that is how I used my computer. Something that I never got into but wish I’d known about is that you don’t need to use your trackpad clicking buttons to click. On the Mac for instance, you can move the mouse around using your fingers on the trackpad, and install something like DwellClick. Software like this often comes with a free trial, and you set a predetermined number of seconds that when you keep the mouse stationary it automatically clicks down. This type of clicking software can reduce repetitive strain injuries.
The specific dwelling software I’m going to use is Dwell Clicker 2. Some dwelling software only works within the program it comes in such as a keyboard for typing, whereas other software works on all Windows programs and across the entire computer. The real challenge is going to be coming up with the perfect time before clicking, and learning to keep my eyes steady for that amount of time but only on chess pieces I want to move. I use 1 second/click. The eyes are not very stable, and we are constantly moving them back and forth. In addition to this dwelling and clicking software, Eye Tribe mentions programs such as Click2Speak and GazeSpeaker for controlling the computer. I’m not close to the point of needing to rely upon programs like these for my functioning (I can talk and move, things are just painful and get weaker with overuse), but I will definitely check them out and see if they can benefit me.
In addition to chess, I’m looking forward to playing other games. Even something like Winter Bells, a silly browser-based game in which a little bunny rabbit jumps from bell to bell seems fun: I used to play it every day in high school for quite a few months, but haven’t played it in years. If shit hits the fan I will play Fruit Ninja a bunch.
Here is someone playing Fruit Ninja with the tracker: https://www.youtube.com/watch?v=-csCO6W83UQ
I guess I’m just looking forward to doing slightly more active hobbies rather than listening to music and watching movies, and I’m hoping eye tracking software helps. I do enjoy writing, which I use text-to-speech for, but talking is exhausting and the vibrations hurt my back after a certain point, and I think having my eyes as a resource will be very beneficial. Even if it doesn’t work out, I’m glad I’m at least trying to make my situation more enjoyable, and maybe my setup will help other people make purchasing decisions for their own gaming. The setup costs less than $1500 and I feel like there are some major applications for people struggling with disabilities that want to get immersed in a really complex and challenging hobby.
You can read more about my health, chess, and my thinking on my website at http://benwyde.com.
Thank you for reading!
submitted by sfrums to chess

CPU vs. GPU usage, overclocking, and other reports from a recent editing workstation rebuild (PC)

TL;DR - new water-cooled 8-core CPU @4.9ghz increased video render speeds 40-75% from previous processor, depending on effects applied.
Thought some of you might find this valuable.
Starting system:
AMD fx-6200 (6 cores) @ 3.8ghz Gigabyte Nvidia GTX-680 (1500 "CUDA cores") 32GB DDR3 RAM @ 1866mhz Gigabyte 990XA-UD3 motherboard USB 3.0 editing drive (getting ~90MB/s sequential transfer) Windows 8.1 on SanDisk 256GB SSD Premiere Pro CC2014 v8.2.0 
I got a great little hardware monitor called CPUID HWMonitor which would show me CPU usage and GPU usage in the same window. I was really surprised. Even though I know the GPU speeds up certain types of rendering quite a bit, the CPU was just always maxed out. Either live-previewing clips at multiple speed or with most any type of effect on them; or when timeline rendering or exporting via Media Encoder. In all cases, the CPU would max out while the GPU fluctuated between 20% and 65% or so, and sometimes was doing nothing but running the display (3-7% usage). This GPU was expensive and needs to earn its keep.
I looked into drive speed limitations, but during most tasks, the CPU would max out before HDD read speed broke 14MB/s (not taxing at all for USB 3.0 or internal drives).
So the video editing and rendering bottleneck on my system was clearly the CPU during editing, rendering, and exporting. I'd be interested to hear reports from folks with Intel CPUs to compare experiences, but upgrading the mobo, RAM, etc. to work with a newer Intel processor wasn't practical for me, so I figured I'd work with my existing equipment. (Otherwise, I'd have gone to an i7-5280k with a new mobo and DDR4 RAM, but that's a ~$1000 build, whereas I wanted so do what I could for <$300.)
Before changing hardware, I did some testing of the system by exporting sequences via Media Encoder. I used a 5-minute clip shot on my EOS-70d, and made versions which were:
  • Raw
  • Blurred using Gaussian Blur
  • Color and level corrected using Three-Way Color Corrector
  • Continuously zoomed around on using motion keyframing.
I exported these at 720p 24fps H.264 6Mbps max 9Mbps. During export, I monitored and recorded CPU usage %, GPU usage %, CPU wattage, CPU temperature, system wattage, and disk transfer rate. Then I threw in a 1-min very shaky clip from same camera, and the same clip stabilized by Warp Stabilizer for good measure. That comes to 6 datapoints for each variable, adding:
  • Shaky (1 min)
  • Stabilized shaky (1 min)
These six tests confirmed that the CPU was always maxed out during export, and that the GPU was cruising along at partial utilization. I'll also note that my processor's "turbo mode" was enabled and used commonly during typical computer usage, but was definitely never activated during the exports - the CPU clock always stayed at or below its set base frequency.
Then it was time to widen (or eliminate) the bottleneck. I chose the fx-8370 - a 95w version of the popular fx-8350. I paired the processor with a Liqmax II 120S water cooler. Practically speaking, this lifts temperature from being the limitation on CPU performance, and replaces it with voltage and stability issues (at higher clock speeds). In comparison to installing air coolers, I'd say it's 50-75% more difficult, but not bad enough that it's not a good option. The unit was all self-contained and the most difficult part was that the water lines are kind of stiff and have to fold inside the case to close the side panel.
In addition to adding water cooling, I lapped the processor and heat sink. (This means that I sanded them gently with progressively finer grit sandpaper and polishing compound/oil to make them as smooth and shiny as possible to reduce the average distance between the two surfaces, and to reduce the amount of air trapped against the surface despite the thermal compound.) My assessment of the lapping process is that it would be so easy to mess things up or do a poor job that it's probably not worth doing in most situations. Getting good at applying a very thin layer of the thermal compound, and then sticking it down one and only one time on the processor (and never lifting it again while installing) will probably make a lot more difference, and dang is it hard to get them sanded all the way down. Takes a long time.
I was also rebuilding my storage system while I had the computer apart, so I got my RAID card and drives set up, and buttoned the case back up. Windows booted just fine, and 15TB RAID 5 clocked in at 650MB/s, but that's another story.
You can learn all over the internet about how to do good overclocking testing/experimentation, so I won't detail the process here, but the idea is test slowly and progressively, adjusting multiplier (or bus speed) and CPU voltage incrementally and then testing for stability and temperature.
The processor has peaked out at 5.3Ghz in turbo mode so far (and has booted and run at 5Ghz base frequency), but for stability, I've needed to back down to 4.9Ghz. Having watched the voltage and temperature readouts, I'm not a huge fan of turbo mode which can really cause both measures to spike, but I'm leaving the turbo at 5.0Ghz for now. So we can update the above system description (only CPU changed for testing purposes):
AMD fx-8370 8-core @ 4.9Ghz (5.0Ghz turbo) Nvidia GTX-680 (1500 "CUDA cores") 32GB DDR3 RAM @ 1866mhz Gigabyte 990XA-UD3 motherboard 15TB RAID5 transferring at 650MB/s Windows 8.1 on SanDisk 256GB SSD Premiere Pro CC2014 v8.2.0 
So, I exported the test clips again, still using the USB 3.0 drive for read and write since it didn't seem to be a bottleneck, and it's what was used on the previous tests. Here were the results:
  • Raw: 45% faster export (from 1.18:1 ratio to 0.81:1)
  • Blur: 54% faster export (from 1.09:1 ratio to 0.75:1)
  • Color: 42% faster export (from 1.16:1 ratio to 0.81:1)
  • Motion: 48% faster export (from 1.31:1 ratio to 0.89:1)
  • Shaky raw: 73% faster export (from 1.70:1 ratio to 0.98:1)
  • Shaky stabilized: 73% faster export (from 1.62:1 ratio to 0.93:1)
Here is a graph based on export time (ratio to footage runtime).
The CPU is still maxed out during export, certainly. However, these speed increases were associated with similar increased rates of GPU usage during export. Here are some numbers:
  • Raw: 78% more GPU utilization (up to 49% from 27% usage)
  • Blur: 31% more GPU utilization (up to 61% from 47% usage)
  • Color: 27% more GPU utilization (up to 46% from 36% usage)
  • Motion: 58% more GPU utilization (up to 56% from 35% usage)
  • Shaky raw: 46% more GPU utilization (up to 59% from 40% usage)
  • Shaky stabilized: 33% more GPU utilization (up to 49% from 37% usage)
Here is a graph of GPU utilization.
Past temperatures during export (air-cooled, 6-core, stock speed) ran in the 48-51C range. At current specs, with water-cooling, they are running 54-56C. That tells me that water cooling was critical to this performance increase (or my water cooling is not being very effective because I did the lapping all wrong or something).
So, there were a few takeaways from this experience:
  • The CPU is usually the limitation on playback and encoding time if you have a serious GPU
  • The GPU's utilization does seem to scale up proportionally as you improve the CPU (at least until you hit 100% GPU usage)
  • It takes some complexity to get AMD CPUs into the range of good Intel CPUs, but it's still a bit cheaper, especially if your existing motherboard is for AMDs.
  • Based on published benchmarks, I think the improvement of an i7-5280k would have been 55-90% increase, rather than 40-75% (basically minimal considering the cost difference).
  • The greatest performance gains to be witnessed were on the order of 75% faster exports. To be clear, that means that a video which once exported in 10 mins will now take 6 min 15 sec.
  • I did notice significant, but harder to quantify, gains in the framerates and general performance of Premiere in actual editing. For example, I can play forward on 1080p color-corrected DSLR footage at 3L (whatever that is - 2-4x speed or so) without a reduced framerate. I couldn't do that before - 2L forward was probably fine, but 3L would have bogged down. However, I wanted data, so I mostly stuck with exporting for measurement purposes.
  • Temperature is not my processor's current limitation, but rather stability, probably relating to vcore voltage and amperage draw from the power supply. With some research, I could probably move it forward to the next limitation, which is probably some other aspect which affects stability. For now, I need to make some movies, but stability at 5Ghz and above is not out of the question.
I have found just a few tasks that Premiere does that I have to wait for, such as audio conforming, which are still limited by the hard drive, so that will be my next area to tackle, but watching and analyzing the current system, I think I've widened the bottleneck in most scenarios by about 40-75%, plus a little user experience benefit. That's not a very exciting improvement when project management is going really well. When project management has not gone so well, that could be a major advantage, but it's still nothing earth-shaking.
Hopefully this info is handy to someone out there, especially someone with a motherboard with an AM3+ socket and a decent video card who has a lot of footage to transcode, stabilize, render, or color grade.
submitted by HungryLikeTheWolf99 to editors

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