Revision as of 22:37, 8 November 2015

Work page for dissertation project

Overview

The dissertation, A Machine for Living In stages intelligent systems in domestic space to study the home as a site of intimate life. Designed to be inhabited, this project examines how technologies are altered through inhabitation. Upending the typical utilitarian concerns of the smart home with optimization and efficiency, I focus instead on the home as a nexus of personal history, desires, relationships, episodic narrative, and bodily praxis. I deploy technologies that purport to represent and analyze the self--speech recognition and synthesis, motion capture, and facial recognition, for example--and engage them with the messy conditions of domestic life. Living within the machine for a number of weeks, I produce a durable record of the home and its inhabitants: human, animal, machine. This material is restaged for viewers as a hybrid experience of recorded media and live interaction.

Process

1. design/build
2. inhabit
3. summarize

To Do

• indoor positioning system
  • people / inhabitant tracking
• sensing doors / appliances / objects / actions
• event logging
• audio recording system
• audio plan
• video plan
• robot / mechatronc plan
• tracking plan
• event logging (house data recorder)

Components

Black Box Recorder

• airplane / vessel / ship analogy
• telemetry
• Flight Data Recorder (FDR)
• Cockpit Voice Recorder (CVR)

Voice Assistant

• voice operation
• always listening in the different rooms

conventional

agonist / antagonist

• lightswitch robots
• door locks
• other ways to provide / deny access

gleeker

lipstick robot

head stain wiper

garbage sensor

Technology

Spark Core with OSC

Audio

http://locusonus.org/w/?page=Locustream+LocusMic

Test throughput raspberry pi (mic to headphone):

arecord -f DAT | aplay -f DAT

Record and playback on Raspberry Pi:

arecord -f DAT -D plughw:0 | aplay -f DAT -D plughw:1

• mics in each room

Preamp to Line Level

Electret_Preamp_TL071