As humans walk on structures, we interact with it by sending vibrations through it. The structure reacts based on the way that the human affects it and vice versa. As they walk, they send a certain type of vibrations into the floor. Those vibrations would be different if that same person was to run across the floor. One of the research tracks of the Structural Dynamics and Intelligent Infrastructure (SDII) Lab is to study the differences between the vibrations, and to find a way to differentiate between the vibrations caused by humans on structures: people running, walking, and falling. To do that, a controlled environment must be created to measure the vibrations and include the relevant metadata to describe the acceleration records. In ad...
AbstractLow-frequency structures, such as footbridges and long-span floors, are often sensitive to v...
This is the final version. Available on open access from Elsevier via the DOI in this recordLow-freq...
<p>With the growth of networked smart devices in indoor environments, human information acquisition ...
Footstep-induced floor vibration sensing has been used in many smart home applications, such as elde...
The purpose of this dataset is to evaluate the performance of floor vibration sensing in tracking th...
The purpose of this dataset is to evaluate the performance of floor vibration sensing in tracking th...
Every event that occurs has a reaction, whether it be a pebble causing ripples in a pond or a bullet...
The overall goal of the Human Fall Detection project is to be able to place accelerometers under flo...
The advances in sensing technology provide us with the opportunity to develop mobile and unobtrusive...
The dataset consists of structural vibration data (vertical velocity of floor structure) induced by ...
Every event that occurs has a reaction, whether it be a pebble causing ripples in a pond or a bullet...
A novel approach, for identification of modal properties using a dynamic excitation induced by a hum...
Vibrations due to pedestrian footfalls are often the governing source of vibration on the upper floo...
Spatiotemporal gait parameters are very important for the detection of gait impairments and associat...
An automated approach is proposed which can analyze ground reaction force data from bipedal walking ...
AbstractLow-frequency structures, such as footbridges and long-span floors, are often sensitive to v...
This is the final version. Available on open access from Elsevier via the DOI in this recordLow-freq...
<p>With the growth of networked smart devices in indoor environments, human information acquisition ...
Footstep-induced floor vibration sensing has been used in many smart home applications, such as elde...
The purpose of this dataset is to evaluate the performance of floor vibration sensing in tracking th...
The purpose of this dataset is to evaluate the performance of floor vibration sensing in tracking th...
Every event that occurs has a reaction, whether it be a pebble causing ripples in a pond or a bullet...
The overall goal of the Human Fall Detection project is to be able to place accelerometers under flo...
The advances in sensing technology provide us with the opportunity to develop mobile and unobtrusive...
The dataset consists of structural vibration data (vertical velocity of floor structure) induced by ...
Every event that occurs has a reaction, whether it be a pebble causing ripples in a pond or a bullet...
A novel approach, for identification of modal properties using a dynamic excitation induced by a hum...
Vibrations due to pedestrian footfalls are often the governing source of vibration on the upper floo...
Spatiotemporal gait parameters are very important for the detection of gait impairments and associat...
An automated approach is proposed which can analyze ground reaction force data from bipedal walking ...
AbstractLow-frequency structures, such as footbridges and long-span floors, are often sensitive to v...
This is the final version. Available on open access from Elsevier via the DOI in this recordLow-freq...
<p>With the growth of networked smart devices in indoor environments, human information acquisition ...