Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 107-131).

1. Introduction -- 1.1 Enabling technologies -- 1.1.1 Camera-based systems -- 1.1.2 Body worn sensors -- 1.1.3 Force and pressure-based systems -- 1.2 Body tracking in context -- 1.3 Overview --

2. Clinical assessment of motor disability -- 2.1 Introduction -- 2.2 Tracking disease progression in multiple sclerosis assessment -- 2.2.1 Contexts and practices in MS assessment with the EDSS -- 2.2.2 Challenges and characteristics of assessment room -- 2.2.3 Doctor-patient relationship in assessment -- 2.2.4 Summary -- 2.3 Understanding concerns in system design: assess MS system -- 2.3.1 System overview -- 2.3.2 Algorithms -- 2.3.3 Movement exercise protocol -- 2.3.4 Ensuring standardized movement performance -- 2.3.5 Framing and standardization, seeing how the machine sees -- 2.3.6 Representing the movement measure and classification -- 2.4 Conclusions --

3. Self-directed rehabilitation and care -- 3.1 Introduction -- 3.2 Facilitating physical activity in chronic musculoskeletal pain -- 3.3 Technology for chronic pain rehabilitation -- 3.3.1 Go-with-the-flow: sonification in movement rehabilitation -- 3.3.2 Transferring to everyday functioning: kinect vs. wearable smartphone as a body-tracking device -- 3.3.3 Self-directed rehabilitation as process: from clinical facilitation to self-management -- 3.3.4 Tracking affective states and pain levels -- 3.4 Exergaming and balance rehabilitation in older adults -- 3.4.1 Balance and fall risk in older adults -- 3.4.2 Body-tracking technology for balance training -- 3.4.3 Designing a balance training game -- 3.4.4 Understanding rehabilitative game use -- 3.5 Conclusion --

4. Interactions for clinicians -- 4.1 Introduction -- 4.2 Sterility and constraints on imaging practices -- 4.3 Tracking the body of the clinician for enabling touchless interaction with images -- 4.4 Clinical considerations in gesture design -- 4.4.1 Clinical constraints on movement in gesture design -- 4.4.2 Supporting collaboration and control -- 4.4.3 What actions and body parts to track for the purposes of system control -- 4.4.4 Engaging and disengaging the system -- 4.4.5 Feedback and making oneself sensed -- 4.4.6 Coarse vs. fine-grained control -- 4.5 Body tracking, gesture, and robotics -- 4.6 Increasing interaction bandwidth through input modality -- 4.7 Conclusions --

5. Conclusions -- 5.1 Introduction -- 5.2 Contextual design -- 5.2.1 Sensor technology -- 5.2.2 Data and algorithms -- 5.2.3 Designing movements -- 5.2.4 Interface and interaction design -- 5.2.5 Physical set-up and form factor -- 5.2.6 Social set-up and practices -- 5.3 The future -- Bibliography -- Author biographies.

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Within the context of healthcare, there has been a long-standing interest in understanding the posture and movement of the human body. Gait analysis work over the years has looked to articulate the patterns and parameters of this movement both for a normal healthy body and in a range of movement-based disorders. In recent years, these efforts to understand the moving body have been transformed by significant advances in sensing technologies and computational analysis techniques all offering new ways for the moving body to be tracked, measured, and interpreted. While much of this work has been largely research focused, as the field matures, we are seeing more shifts into clinical practice. As a consequence, there is an increasing need to understand these sensing technologies over and above the specific capabilities to track, measure, and infer patterns of movement in themselves. Rather, there is an imperative to understand how the material form of these technologies enables them also to be situated in everyday healthcare contexts and practices. There are significant mutually interdependent ties between the fundamental characteristics and assumptions of these technologies and the configurations of everyday collaborative practices that are possible them. Our attention then must look to social, clinical, and technical relations pertaining to these various body technologies that may play out in particular ways across a range of different healthcare contexts and stakeholders. Our aim in this book is to explore these issues with key examples illustrating how social contexts of use relate to the properties and assumptions bound up in particular choices of body-tracking technology. We do this through a focus on three core application areas in healthcare--assessment, rehabilitation, and surgical interaction--and recent efforts to apply body-tracking technologies to them.

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Title from PDF title page (viewed on March 20, 2016).