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Collaborative and Creative Thinking Skill Development Through the Design of Wearable TechnologiesKorte, Laurie E. 01 January 2014 (has links)
Skills inherent in the creative thinking process such as reflecting and collaborating are needed for success in many careers. However, a focus on standardized testing in K-12 schools in the United States has resulted in the restructuring, reduction, and in some cases, elimination of arts in the curriculum to the detriment of students' creative thinking process. The purpose of this study was to discover whether creative thinking and collaborative skills were positive unintended consequences of a curriculum that includes the design of wearable technologies. Jonassen's modeling using Mindtools for conceptual change and Rosen's culture of collaboration provided the conceptual framework. This qualitative case study explored students' and teachers' perceptions of collaborative and creative thinking skill development while designing wearable technologies. The data analysis used interviews with 3 students and 1 teacher and an evaluation of participant wearable technology artifacts. Rich themes and patterns were determined through open coding. The themes identified to explain the perceived development of creative thinking skills were divergent thinking, stimulation of the imagination, generation of new knowledge, and creative climate. The themes identified to explain the perceived development of collaborative skills were diverse membership, culture of collaboration, and community building. The design of wearable technologies as a Mindtool showed promise as a new way to integrate art with science, technology, engineering, and math (STEM). This study may effect positive social change by informing educational policy and influencing school budgetary consideration toward including art as a value-added benefit to STEM curriculum.
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Smart shoe gait analysis and diagnosis: designing and prototyping of hardware and softwarePeddinti, Seshasai Vamsi Krishna January 2018 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Gait analysis plays a major role in treatment of osteoarthritis, knee or hip replacements, and musculoskeletal diseases. It is extensively used for injury rehabilitation and physical therapy for issues like Hemiplegia and Diplegia. It also provides us with the information to detect various improper gaits such as Parkinson's disease, Hemiplegic and diplegic gaits. Though there are many wearable and non-wearable methods to detect the improper gate performance, they are usually not user friendly and have restrictions. Most existing devices and systems can detect the gait but are very limited with regards of diagnosing them. The proposed method uses two A201 Force sensing resistors, accelerometer, and gyroscope to detect the gait and send diagnosed information of the possibility of the specified improper gaits via Bluetooth wireless communication system to the user's hand-held device or the desktop. The data received from the sensors was analyzed by the custom made micro-controller and is sent to the desktop or mobile device via Bluetooth module. The peak pressure values during a gait cycle were recorded and were used to indicate if the walk cycle of a person is normal or it has any abnormality.
Future work: A magnetometer can be added to get more accurate results. More improper gaits can be detected by using two PCBs, one under each foot. Data can be sent to cloud and saved for future comparisons.
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Microphone-Based Wearable Microsystem for Continuous Respiratory Rate MonitoringSun, Yue January 2021 (has links)
No description available.
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An Integrated System for Sweat Stimulation, Sampling and SensingHauke, Adam J. 11 October 2018 (has links)
No description available.
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Physiological Health Assessment and Hazard Monitoring Patch for FirefightersGiovanetti, Matthew T. 02 October 2018 (has links)
No description available.
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Identification of Discriminating Motifs in Heart Rate Time Series Data of Soccer PlayersRavindranathan, Sampurna January 2018 (has links)
No description available.
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Extending IT Identity to Social Behavior and Identity Change: Evidence from Wearable Fitness-IT UseSundrup, Rui Zhang 01 October 2019 (has links)
No description available.
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Predicting Subjective Sleep Quality Using Objective Measurements in Older AdultsSadeghi, Reza 19 May 2020 (has links)
No description available.
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Signal Quality Assessment of Photoplethysmogram for Heart Rate EstimationUyanik Civek, Ceren January 2020 (has links)
No description available.
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Improving Pain Management in Patients with Sickle Cell Disease Using Machine Learning TechniquesYang, Fan 31 August 2020 (has links)
No description available.
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