Fhem is a GPL'd perl server for house automation. It is used to automate some common tasks in the household like switching lamps / shutters / heating / etc. and to log events like temperature / humidity / power consumption.

The program runs as a server, you can control it via web-frontends, telnet, command line program or TCP/IP directly.

In order to use fhem you'll need a 24/7 server (PC, MacMini, Fritz!Box, NAS, etc) with a perl interpreter and some attached hardware like the CUL, FHZ1300PC, etc. to access the actors and sensors. See the "Supported hardware" section below.

"I've been deaf since birth and there are lot of "sound words" that I read a lot but don't really know what they mean, and dictionary definitions often just refer to other sound words. It's never mattered to me before, but now I'm trying to write a novel with one hearing narrator and every time I use a sound word I'm not sure I'm using it right. I posted awhile ago to /r/writing about "scream", "shout" and "yell" but I've generated a list of questions so I thought I should take it to a larger audience.
People crying in sadness vs crying out in anger, I know there's some gray area in between where they can be used interchangeably, it's hard to get
"shriek" and "ream" are both words that seem to imply emotion more than any specific sound. Is that right?"

"1) 2-dimensional decoders, where an individual controls a mouse with their mind, have existed for a while. What makes this really cool is that there are actually quite a few degrees of freedom in a robot arm, but they're basically using the same hardware. So the influence of software/algorithms in this case is pretty fundamental. There are a lot of papers on improved neural-decoding methods that at first glance appear really dry, boring, not the `sexy' kind of science with huge breakthroughs, but they end up being crucial to good performance as the complexity of the robot grows.

2) One participant was implanted with the electrode array 5 years before the study, and had the injury 10 years before that. Usually the signals don't last that long in monkey models. And we know that your cortex changes with disuse, so it's awesome that they were able to get usable signals so many years later.

What needs to get better are a couple things:

First, these decoders aren't perfect yet. What the Wired article didn't tell you is that the performance for the woman's implant was around 20-50% successful trials (still awesome from a comparison to no interaction)[1].

Second, incorporating sensory feedback is another challenge that is really hard to address, but also very important. Imagine building a robotic controller in which the only information you received about the robot's position was visual. That's the way this works. If we find a reasonable way to mimic sensors of muscle extension (a proxy for joint angle) then we can create more controllable devices."

The integrated 3D Hall sensor technology HallinOne® allows 3-axis magnetic field measurement with one sensor chip. Thus, low cost contactless position measuring systems can be implemented. Conventional Hall sensors are only sensitive against magnetic fields perpendicular to the chip surface. Our Hall sensor, however, is able to measure also magnetic fields parallel to the chip surface.

AS54xx enables the "first true 3-axis" differential measurement of the magnetic field to cover absolute linear and off-/on-axis and three-dimensional tilt sensor applications. The new three-dimensional Hall element is able to provide absolute and highest resolution angular or linear output data.

To remedy this situation, researchers at the Fraunhofer Institute for Integrated Circuits IIS in Erlangen have developed a novel, space-saving metering unit that can be simply clipped onto a power cable like a laundry peg, without even having to disconnect the load.

Welcome to the Open Sensor Network Web Application (OSN-WApp). With the OSN-WApp you can easily interact with the OSN Platform and add your open sensor networks. Create your new account and start to share your Open Data with the World!

Most of the demonstrations rely on motion-capture external to the actual robot. There's an example of "map-building" in the latter part of the TED talk. Kumar talks in terms of "execution of motor-commands" (600/s). Ant-like cooperation + monitoring of distance to neighbors.