Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories
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{"title"=>"Exploring the use of sensors to measure behavioral interactions: An experimental evaluation of using hand trajectories", "type"=>"journal", "authors"=>[{"first_name"=>"Jeroen H.M.", "last_name"=>"Bergmann", "scopus_author_id"=>"24437914800"}, {"first_name"=>"Patrick M.", "last_name"=>"Langdon", "scopus_author_id"=>"55781400200"}, {"first_name"=>"Ruth E.", "last_name"=>"Mayagoitia", "scopus_author_id"=>"6603777746"}, {"first_name"=>"Newton", "last_name"=>"Howard", "scopus_author_id"=>"55326572900"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"24516583", "doi"=>"10.1371/journal.pone.0088080", "pui"=>"372543814", "issn"=>"19326203", "sgr"=>"84895741570", "scopus"=>"2-s2.0-84895741570"}, "id"=>"0446dcdf-28bc-3e3e-a1af-ca2a10b1d954", "abstract"=>"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.", "link"=>"http://www.mendeley.com/research/exploring-sensors-measure-behavioral-interactions-experimental-evaluation-using-hand-trajectories", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>7, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>7, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>17, "Unspecified"=>1, "Nursing and Health Professions"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Physics and Astronomy"=>1, "Computer Science"=>3, "Design"=>1, "Agricultural and Biological Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>17}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Computer Science"=>{"Computer Science"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "United Kingdom"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1556207"], "description"=>"<p>Zero-mean Gaussian noise is added to all signals. Top plots: <b>A</b> Red signal shows a sine wave with a frequency <i>f</i> and the blue trace has a frequency of 1.001<i>f</i>. <b>B</b> Red signal shows a sine wave, while blue is a Haar wave with the same frequency <i>f. </i><b>C</b> The red signal shows a sine wave with a frequency <i>f</i> and the blue trace has a frequency of 2<i>f</i>. <b>Bottom plots</b> show the wavelet coherence for each example. The heat map displayed on the right side specifies the coherence. The mean wavelet coherence value () is displayed in the corner of each bottom plot.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "wavelet", "coherence", "samples"], "article_id"=>1075872, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g007", "stats"=>{"downloads"=>0, "page_views"=>36, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_of_how_the_wavelet_coherence_changes_over_three_samples_of_wave_patterns_/1075872", "title"=>"Example of how the wavelet coherence changes over three samples of wave patterns.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556170"], "description"=>"<p>Each arm position sequence used is identified by a letter (A, B or C) and consisted of three succeeding positions the participant was instructed to attain and then hold for approximately 10 s.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "positions"], "article_id"=>1075840, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Arm_positions_used_/1075840", "title"=>"Arm positions used.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556187"], "description"=>"<p><b>A</b> Picture of the kitchen that was used with at the top right corner an inset of the containers and mug <b>B</b> Schematic of the experimental setup that was applied.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology"], "article_id"=>1075852, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g005", "stats"=>{"downloads"=>4, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_setup_/1075852", "title"=>"Experimental setup.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556164"], "description"=>"<p>Optical tracking markers and Inertia Measurement Units (IMUs) as attached to the left arm of the participant.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "tracking", "markers", "inertia", "units", "attached"], "article_id"=>1075834, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Optical_tracking_markers_and_Inertia_Measurement_Units_IMUs_as_attached_to_the_left_arm_of_the_participant_/1075834", "title"=>"Optical tracking markers and Inertia Measurement Units (IMUs) as attached to the left arm of the participant.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556182"], "description"=>"<p>Dashed blue lines are the positions obtained from the optical tracking device and the solid red lines correspond to hand positions calculated by the biomechanical model using IMU data.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "euclidean"], "article_id"=>1075847, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g004", "stats"=>{"downloads"=>0, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Positions_of_the_hand_in_each_direction_X_Y_Z_and_Euclidean_norm_and_for_every_sequence_/1075847", "title"=>"Positions of the hand in each direction (X, Y, Z and Euclidean norm) and for every sequence.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556215"], "description"=>"<div><p>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.</p></div>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "sensors"], "article_id"=>1075880, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080", "stats"=>{"downloads"=>3, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Exploring_the_Use_of_Sensors_to_Measure_Behavioral_Interactions_An_Experimental_Evaluation_of_Using_Hand_Trajectories_/1075880", "title"=>"Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556210"], "description"=>"<p>S stands for motion sequence; X, Y and Z represent the directions of movement for the upper limb point and the Euclidean norm is given by .</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "errors", "positions"], "article_id"=>1075875, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.t001", "stats"=>{"downloads"=>6, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pearson_correlation_coefficients_Root_Mean_Square_Errors_and_dynamic_range_between_the_positions_obtained_by_both_methods_/1075875", "title"=>"Pearson correlation coefficients, Root Mean Square Errors and dynamic range between the positions obtained by both methods.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556209"], "description"=>"<p>The mean coherence across 8 movement repetitions is displayed for each subject, while using one of the three containers. At the end of the rows all wavelet coherences per subject are averaged (Within<sub>s</sub>). At the bottom of each column all subjects are averaged for each container (Between<sub>s</sub>). The warmer the color of a region, the greater the coherence is between the two signals. The full wavelet coherence is subsequently averaged for each subject and container to generate a single value () that is displayed in top corner of each plot.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "coherence", "euclidean"], "article_id"=>1075874, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g008", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Wavelet_coherence_plots_of_the_Euclidean_norm_/1075874", "title"=>"Wavelet coherence plots of the Euclidean norm.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556204"], "description"=>"<p>All figures starting with <b>A</b> compare the patterns between three subjects (blue, red and green) interacting with a pitcher (<b>A.1</b>), teapot (<b>A.2</b>) and kettle (<b>A.3</b>). The figures labeled with a <b>B</b> show the traces for each subject (<b>B.1</b>, <b>B.2</b> and <b>B.3</b>) using pitcher (blue), teapot (red) and kettle (green). All plots show a 2D projection of the data for each plane.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "computed", "two-linked", "segmental"], "article_id"=>1075869, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g006", "stats"=>{"downloads"=>1, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Traces_of_the_hand_computed_using_a_two_linked_segmental_model_/1075869", "title"=>"Traces of the hand computed using a two-linked segmental model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1556177"], "description"=>"<p>Segment lengths were taken from anthropometric data <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088080#pone.0088080-Lichtwark1\" target=\"_blank\">[9]</a>. The proximal point (<b>p</b>) represents the shoulder; the intermediate point (<b>i</b>) is the elbow and the distal point (<b>d</b>) the hand. All positions are given in (X,Y,Z). (LU) length of the upper arm; (LL) length of the lower arm and hand.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "Mental health", "psychology", "behavior", "Experimental psychology", "two-link"], "article_id"=>1075842, "categories"=>["Biological Sciences", "Medicine", "Engineering", "Sociology"], "users"=>["Jeroen H. M. Bergmann", "Patrick M. Langdon", "Ruth E. Mayagoitia", "Newton Howard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088080.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Initial_condition_of_the_two_link_model_/1075842", "title"=>"Initial condition of the two-link model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 10:39:54"}

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Relative Metric

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