Search for dissertations about: "wearable sensors"

Showing result 1 - 5 of 37 swedish dissertations containing the words wearable sensors.

  2. 1. Wearable sensors for monitoring epilepsy and Parkinson´s disease

    Author : Dongni Johansson; Göteborgs universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Epilepsy; Parkinson’s disease; Wearable sensors; Continuous and objective monitoring; End users’ perceptions; Qualitative content analysis; Machine learning algorithms; Tonic-clonic seizure detection; Dose titration; Motor state recognition;

    Abstract : Introduction: Epilepsy and Parkinson’s disease (PD) are conditions where management would benefit greatly from monitoring symptoms over longer time periods in natural everyday environments instead of only intermittent assessments at clinics. Wearable technology with built-in sensors such as accelerometers and gyroscopes, could allow continuous and objective long-term monitoring of movement patterns. READ MORE

  4. 2. Ergonomic Risk Assessment and Intervention through Smart Workwear Systems

    Author : Liyun Yang; Jörgen Eklund; Mikael Forsman; Karen Søgaard; KTH; Karolinska Institutet; Karolinska Institutet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Physical Workload; Work Postures; Energy Consumption; Oxygen Uptake; Risk Assessment; Measurement Methods; Work-Related Musculoskeletal Disorders; Work-Related Ill Health; Wearable Sensors; Wearable Systems; Feedback; Ergonomic Intervention.; Fysisk arbetsbelastning; Arbetsställningar; Energiförbrukning; Syreupptag; Riskbedömning; Mätmetoder; Arbetsrelaterade muskuloskeletala besvär; Arbetsrelaterad ohälsa; Bärbara sensorer; Bärbara system; Återkoppling; Ergonomisk intervention.; Medicinsk teknologi; Medical Technology; Physical Workload;

    Abstract : The rapid development of wearable technology has provided opportunities to ergonomics research and practice with new ways for workload measurements, data analytics, risk assessment and intervention. This thesis aims at developing and evaluating methods using wearable technologies to assess physical risk factors at work, and further to give feedback to employees to improve their work techniques. READ MORE

  5. 3. Complex activity recognition and context validation within social interaction tools

    Author : Saguna Saguna; Christian Becker; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; context awareness; activity recognition; social networks; situation awareness; HCI; complex activity recognition; sensors; Prototype evaluation; SACAAR; OAT4CDAT; online activity toolkit; context driven activity theory; wearable computing; smart homes; presence; machine learning; Markov chains; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : Human activity recognition using sensing technology is crucial in achieving pervasive and ubiquitous computing paradigms. It can be applied in many domains such as health-care, aged-care, personal-informatics, industry, sports and military. READ MORE

  6. 4. Low Power Analog Interface Circuits toward Software Defined Sensors

    Author : Yajie Qin; Lirong Zheng; Kari Halonen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; IoT; software defined sensor; SoC; bio-medical electronics; bio-electric sensor; E-patch; wearable sensor; wearable healthcare system; pervasive healthcare; CMOS; ADC; digital calibration; analog front-end; folded reference.; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Internet of Things is expanding to the areas such as healthcare, home management, industrial, agriculture, and becoming pervasive in our life, resulting in improved efficiency, accuracy and economic benefits. Smart sensors with embedded interfacing integrated circuits (ICs) are important enablers, hence, variety of smart sensors are required. READ MORE

  7. 5. Human motion prediction using wearable sensors and machine Learning

    Author : Binbin Su; Elena M. Gutierrez-Farewik; Christian Smith; Neil Cronin; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wearable sensors; gait segmentation; lower limb angular velocity; machine learning; deep learning; reinforcement learning; Engineering Mechanics; Teknisk mekanik;

    Abstract : Accurately measuring and predicting human movement is important in many contexts, such as in rehabilitation and the design of assistive devices. Thanks to the development and availability of a wide variety of sensors, scientists study human movement in many settings and capture characteristic properties unique to individuals as well as to larger study populations. READ MORE