Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories
Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people’s behavior changes is often hard to quantify. A reliable and valid tool is needed...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2014
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| Online Access: | http://hdl.handle.net/1721.1/86372 https://orcid.org/0000-0002-8503-3973 |
| _version_ | 1826191641754468352 |
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| author | Bergmann, Jeroen H. M. Langdon, Patrick M. Mayagoitia, Ruth E. Howard, Newton |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Bergmann, Jeroen H. M. Langdon, Patrick M. Mayagoitia, Ruth E. Howard, Newton |
| author_sort | Bergmann, Jeroen H. M. |
| collection | MIT |
| description | Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people’s behavior changes is often hard to quantify. A reliable and valid tool is needed in order to address such a question, ideally measuring an important point of interaction, such as the hand. Wearable-body-sensor systems can be used to obtain valuable, behavioral information. These systems are particularly useful for assessing functional interactions that occur between the endpoints of the upper limbs and our surroundings. A new method is explored that consists of computing hand position using a wearable sensor system and validating it against a gold standard reference measurement (optical tracking device). Initial outcomes related well to the gold standard measurements (r = 0.81) showing an acceptable average root mean square error of 0.09 meters. Subsequently, the use of this approach was further investigated by measuring differences in motor behavior, in response to a changing environment. Three subjects were asked to perform a water pouring task with three slightly different containers. Wavelet analysis was introduced to assess how motor consistency was affected by these small environmental changes. Results showed that the behavioral motor adjustments to a variable environment could be assessed by applying wavelet coherence techniques. Applying these procedures in everyday life, combined with correct research methodologies, can assist in quantifying how environmental changes can cause alterations in our motor behavior. |
| first_indexed | 2024-09-23T08:59:06Z |
| format | Article |
| id | mit-1721.1/86372 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:59:06Z |
| publishDate | 2014 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/863722022-09-30T12:35:47Z Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories Bergmann, Jeroen H. M. Langdon, Patrick M. Mayagoitia, Ruth E. Howard, Newton Massachusetts Institute of Technology. Media Laboratory Massachusetts Institute of Technology. Synthetic Intelligence Laboratory Howard, Newton Bergmann, Jeroen H. M. Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people’s behavior changes is often hard to quantify. A reliable and valid tool is needed in order to address such a question, ideally measuring an important point of interaction, such as the hand. Wearable-body-sensor systems can be used to obtain valuable, behavioral information. These systems are particularly useful for assessing functional interactions that occur between the endpoints of the upper limbs and our surroundings. A new method is explored that consists of computing hand position using a wearable sensor system and validating it against a gold standard reference measurement (optical tracking device). Initial outcomes related well to the gold standard measurements (r = 0.81) showing an acceptable average root mean square error of 0.09 meters. Subsequently, the use of this approach was further investigated by measuring differences in motor behavior, in response to a changing environment. Three subjects were asked to perform a water pouring task with three slightly different containers. Wavelet analysis was introduced to assess how motor consistency was affected by these small environmental changes. Results showed that the behavioral motor adjustments to a variable environment could be assessed by applying wavelet coherence techniques. Applying these procedures in everyday life, combined with correct research methodologies, can assist in quantifying how environmental changes can cause alterations in our motor behavior. Brain Sciences Foundation (fellowship) 2014-05-02T16:47:11Z 2014-05-02T16:47:11Z 2014-02 2013-07 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/86372 Bergmann, Jeroen H. M., Patrick M. Langdon, Ruth E. Mayagoitia, and Newton Howard. “Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories.” Edited by Derek Abbott. PLoS ONE 9, no. 2 (February 7, 2014): e88080. https://orcid.org/0000-0002-8503-3973 en_US http://dx.doi.org/10.1371/journal.pone.0088080 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science PLoS |
| spellingShingle | Bergmann, Jeroen H. M. Langdon, Patrick M. Mayagoitia, Ruth E. Howard, Newton Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title | Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title_full | Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title_fullStr | Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title_full_unstemmed | Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title_short | Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories |
| title_sort | exploring the use of sensors to measure behavioral interactions an experimental evaluation of using hand trajectories |
| url | http://hdl.handle.net/1721.1/86372 https://orcid.org/0000-0002-8503-3973 |
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