No abstract

Bluetooth Low Energy (BLE) is a promising 2.4 GHz technology for Body Area Networks (BAN) in healthcare and lifestyle applications. However, the global increase of wireless devices using the crowded spectrum in the 2.4 GHz frequency band can create coexistence issues. This work studies the performance of BLE in environments with multiple BLE devices. An experimental setup consisting of 10 BLE nodes is used to measure BLE application throughput with different connection parameters and under different interference sources, such as other BLE devices and WiFi. The results quantify the decrease of the application throughput and the influence of BLE connection parameters in the experimental settings, as well as suggest parameter values suitable for densely deployed environments.

We propose a hybrid architecture of wired and wireless sensors for smart fabric with applications including body dynamics and shape monitoring and patient rehabilitation. Our system is capable of acquiring data from up to 200 onbody sensors with 50Hz sampling rate using conventional low-cost hardware. The sensing and data processing is done in real time and the results available on a smaptphone, tablet or pc in 3D visual form or as alerts. The user experience of the demo will include trying out smart clothing that is enabled with the shape sensing fabric and observing the body shape dynamics on-screen in real time.

In this paper a novel portable posture monitoring and feedback system is proposed. System is designed to be unobtrusively used during daily activities and provide alternative solution to traditional bracing used in treatment of scoliosis. System consists of wearable sensor network for posture data acquisition, wireless data transmission and conventional smartphone for data processing, visualization and vibrating feedback generation. Special data acquisition board is designed for data sampling from sensor network and wireless transmission to smartphone. A custom made Android application is used for real time data processing, current posture model visualization, data logging and instantaneous feedback. System was tested for posture monitoring and feedback generation on multiple test subjects. Tests demonstrated systems effectiveness on improving posture related behavior and ability to help subject to hold specific reference posture performing similar task as traditional bracing.

This paper presents a wearable wireless system for measuring human body activities, consisting of small inertial sensor nodes and the main hub for data transmission via Bluetooth for further analysis. Unlike optical and ultrasonic technologies, the proposed solution has no movement restrictions, such as the requirement to stay in the line of sight, and it provides information on the dynamics of the human body’s poses regardless of its location. The problem of the correct placement of sensors on the body is considered, a simplified architecture of the wearable clothing is described, an experimental set-up is developed and tests are performed. The system has been tested by performing several physical exercises and comparing the performance with the commercially available BTS Bioengineering SMART DX motion capture system. The results show that our solution is more suitable for complex exercises as the system based on digital cameras tends to lose some markers. The proposed wearable sensor clothing can be used as a multi-purpose data acquisition device for application-specific data analysis, thus providing an automated tool for scientists and doctors to measure patient’s body movements.