CRAWDAD columbia/kinetic

200 hours of accelerometer information recorded over 25 days from 5 participants.

To help us better understand the properties of various energy sources and their impact on energy harvesting adaptive algorithms, we collected acceleration traces from different participants.

release date: 2014-05-13

collection environment: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train. As mentioned earlier, the five participants were asked to carry the sensing units in a comfortable manner over a period of 25 days. The dominant motion frequency of all collected traces ran in the range of 1.92-2.8Hz, which corresponded to human walking. Using collected data, we were able to calculate the average power a harvester could generate over a trace's length as well as over a 24-hour period. 

data collection methodology: For the logging of measurements, we use ADXL345 tri-axis accelerometers, Atmega328P microcontrollers and microSD cards located on SparkFun ADXL345 evaluation boards. The accelerometer sensors record acceleration along the x, y, and z axes with a 100 Hz sampling frequency. Experiments were conducted with the sensing units placed in multiple locations. 

Tracesets

columbia/kinetic/kinetic-energy

200 hours of acceleration information in 25 days from 5 participants

• methodology: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train. As mentioned earlier, the five participants were asked to carry the sensing units in a comfortable manner over a period of 25 days. The dominant motion frequency of all collected traces ran in the range of 1.92-2.8 Hz, which corresponded to human walking. Using collected data, we were able to calculate the average power a harvester could generate over a trace's length as well as over a 24-hour period.

columbia/kinetic/kinetic-energy Traces

Measurements from participant 1

• columbia/kinetic/kinetic-energy/M1: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train. 
• file:M1.zip
• format: The first column is the time since the measurement started (in seconds). The second column is the acceleration along x axis (in g) . The third column is the acceleration along y axis (in g) . The fourth column is the acceleration along z axis (in g) .

Measurements from participant 2 

• columbia/kinetic/kinetic-energy/M2: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train.
• file:M2.zip
• format: The first column is the time since the measurement started (in seconds). The second column is the acceleration along x axis (in g) . The third column is the acceleration along y axis (in g) . The fourth column is the acceleration along z axis (in g) .

Measurements from participant 3 

• columbia/kinetic/kinetic-energy/M3: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train.
• file:M3.zip
• format: The first column is the time since the measurement started (in seconds). The second column is the acceleration along x axis (in g) . The third column is the acceleration along y axis (in g) . The fourth column is the acceleration along z axis (in g) .

Measurements from participant 4 

• columbia/kinetic/kinetic-energy/M4: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train.
• file:M4.zip
• format: The first column is the time since the measurement started (in seconds). The second column is the acceleration along x axis (in g) . The third column is the acceleration along y axis (in g) . The fourth column is the acceleration along z axis (in g) .

Measurements from participant 5 

• columbia/kinetic/kinetic-energy/M5: Measurements were collected from five participants of different ages, physiques and means of transportation to the same laboratory work location. The participants included two undergraduate students who commuted by foot as well as an undergraduate student, graduate student, and software developer who commuted by train.
• file:M5.zip
• format: The first column is the time since the measurement started (in seconds). The second column is the acceleration along x axis (in g) . The third column is the acceleration along y axis (in g) . The fourth column is the acceleration along z axis (in g) .