Matching Items (4)
Filtering by
- All Subjects: Movement
- Creators: Fitzgerald, Mary
- Creators: Turaga, Pavan
Description
MOVE was a choreographic project that investigated content in conjunction with the creative process. The yearlong collaborative creative process utilized improvisational and compositional experiments to research the movement potential of the human body, as well as movement's ability to be an emotional catalyst. Multiple showings were held to receive feedback from a variety of viewers. Production elements were designed in conjunction with the development of the evening-length dance work. As a result of discussion and research, several process-revealing sections were created to provide clear relationships between pedestrian/daily functional movement and technical movement. Each section within MOVE addressed movement as an emotional catalyst, resulting in a variety of emotional textures. The sections were placed in a non-linear structure in order for the audience to have the space to create their own connections between concepts. Community was developed in rehearsal via touch/weight sharing, and translated to the performance of MOVE via a communal, instinctive approach to the performance of the work. Community was also created between the movers and the audience via the design of the performance space. The production elements all revolved around the human body, and offered different viewpoints into various body parts. The choreographer, designers, and movers all participated in the creation of the production elements, resulting in a clear understanding of MOVE by the entire community involved. The overall creation, presentation, and reflection of MOVE was a view into the choreographer's growth as a dance artist, and her values of people and movement.
ContributorsPeterson, Britta Joy (Author) / Fitzgerald, Mary (Thesis advisor) / Schupp, Karen (Committee member) / Mcneal Hunt, Diane (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT
This study intended to provide people diagnosed with autism spectrum disorder a creative outlet to experience dance and other art forms as a way of expressing themselves. Other potential benefits were observed throughout the exploration, including social interaction, coordination, and confidence. An interpretive phenomenological research model analyzed participant and parent verbal reflections, written feedback, and video recorded movement sessions to understand and interpret the participant's experience and the potential value of creative movement. The study was conducted over a seven-week period, which included 13, 30-minute movement sessions held biweekly along with interviews, discussions, surveys, and journaling. The research revealed dance empowered each participant to explore his/her creativity and exercise personal expression. The feedback received from the participants and parents through interviews and reflections revealed the participants did exercise and discover social, physical, emotional, and creative expression throughout the study.
This study intended to provide people diagnosed with autism spectrum disorder a creative outlet to experience dance and other art forms as a way of expressing themselves. Other potential benefits were observed throughout the exploration, including social interaction, coordination, and confidence. An interpretive phenomenological research model analyzed participant and parent verbal reflections, written feedback, and video recorded movement sessions to understand and interpret the participant's experience and the potential value of creative movement. The study was conducted over a seven-week period, which included 13, 30-minute movement sessions held biweekly along with interviews, discussions, surveys, and journaling. The research revealed dance empowered each participant to explore his/her creativity and exercise personal expression. The feedback received from the participants and parents through interviews and reflections revealed the participants did exercise and discover social, physical, emotional, and creative expression throughout the study.
ContributorsFinlayson, Kelsey (Author) / Fitzgerald, Mary (Thesis advisor) / Murphey, Claudia (Committee member) / Brown, Karen (Committee member) / Arizona State University (Publisher)
Created2015
Description
This thesis aims to explore the language of different bodies in the field of dance by analyzing
the habitual patterns of dancers from different backgrounds and vernaculars. Contextually,
the term habitual patterns is defined as the postures or poses that tend to re-appear,
often unintentionally, as the dancer performs improvisational dance. The focus lies in exposing
the movement vocabulary of a dancer to reveal his/her unique fingerprint.
The proposed approach for uncovering these movement patterns is to use a clustering
technique; mainly k-means. In addition to a static method of analysis, this paper uses
an online method of clustering using a streaming variant of k-means that integrates into
the flow of components that can be used in a real-time interactive dance performance. The
computational system is trained by the dancer to discover identifying patterns and therefore
it enables a feedback loop resulting in a rich exchange between dancer and machine. This
can help break a dancer’s tendency to create similar postures, explore larger kinespheric
space and invent movement beyond their current capabilities.
This paper describes a project that distinguishes itself in that it uses a custom database
that is curated for the purpose of highlighting the similarities and differences between various
movement forms. It puts particular emphasis on the process of choosing source movement
qualitatively, before the technological capture process begins.
the habitual patterns of dancers from different backgrounds and vernaculars. Contextually,
the term habitual patterns is defined as the postures or poses that tend to re-appear,
often unintentionally, as the dancer performs improvisational dance. The focus lies in exposing
the movement vocabulary of a dancer to reveal his/her unique fingerprint.
The proposed approach for uncovering these movement patterns is to use a clustering
technique; mainly k-means. In addition to a static method of analysis, this paper uses
an online method of clustering using a streaming variant of k-means that integrates into
the flow of components that can be used in a real-time interactive dance performance. The
computational system is trained by the dancer to discover identifying patterns and therefore
it enables a feedback loop resulting in a rich exchange between dancer and machine. This
can help break a dancer’s tendency to create similar postures, explore larger kinespheric
space and invent movement beyond their current capabilities.
This paper describes a project that distinguishes itself in that it uses a custom database
that is curated for the purpose of highlighting the similarities and differences between various
movement forms. It puts particular emphasis on the process of choosing source movement
qualitatively, before the technological capture process begins.
ContributorsIyengar, Varsha (Author) / Xin Wei, Sha (Thesis advisor) / Turaga, Pavan (Committee member) / Coleman, Grisha (Committee member) / Arizona State University (Publisher)
Created2016
Description
The increased risk of falling and the worse ability to perform other daily physical activities in the elderly cause concern about monitoring and correcting basic everyday movement. In this thesis, a Kinect-based system was designed to assess one of the most important factors in balance control of human body when doing Sit-to-Stand (STS) movement: the postural symmetry in mediolateral direction. A symmetry score, calculated by the data obtained from a Kinect RGB-D camera, was proposed to reflect the mediolateral postural symmetry degree and was used to drive a real-time audio feedback designed in MAX/MSP to help users adjust themselves to perform their movement in a more symmetrical way during STS. The symmetry score was verified by calculating the Spearman correlation coefficient with the data obtained from Inertial Measurement Unit (IMU) sensor and got an average value at 0.732. Five healthy adults, four males and one female, with normal balance abilities and with no musculoskeletal disorders, were selected to participate in the experiment and the results showed that the low-cost Kinect-based system has the potential to train users to perform a more symmetrical movement in mediolateral direction during STS movement.
ContributorsZhou, Henghao (Author) / Turaga, Pavan (Thesis advisor) / Ingalls, Todd (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Created2016