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In Wireless Body Area Networks (WBANs), on-body channels undergo temporal variations predominantly because of the body motion and shadowing of tissue. This paper focuses on a common human activity, walking, to explore the characteristics of the dynamic on-body propagation channel. A customized portable wireless sounder is built and utilized to collect the original on-body channel data both for the...
In this paper, we report the design and validation of a novel wearable wireless system, TriboWalk, for gait monitoring and motion energy harvesting based on triboelectrification. Gait analysis is an important diagnostic method for medical rehabilitation. The TriboWalk system is capable of gait monitoring and analysis by capturing gait timing parameters and ground contact force (GCF) pattern based...
Location-Based Services (LBS) require the knowledge of a user's position for manifold purposes in indoor and outdoor environments. For those applications several methods can be used, such as a Global Navigation Satellite System (GNSS) or a wireless localization system. In this paper a topological map is used to implement a indoor localization system for smartphone users. Benefit of this kind of map...
We propose human mobility tracking and activity monitoring using 60 GHz millimeter wave (mmWave). We discuss the benefits of using mmWave signals for the purpose over existing 2.4/5 GHz based techniques. We also identify related challenges of determining human's initial location and tracking, and demonstrate the feasibility of activity monitoring using an example of walking activity.
There has been a growing interest in equipping the objects and environment surrounding the user with sensing capabilities. Smart indoor spaces such as smart homes and offices can implement the sensing and processing functionality, relieving users from the need of wearing or carrying smart devices. Enabling such smart spaces requires device-free effortless sensing of user's identity and activities...
Stride rate and length are monitored by physicians to identify abnormalities in the patients' gait. These are also important parameters for athletes. Lab based video recordings are used for monitoring while new methods utilize inertial sensors. These sensors require a lot of sensed data processing consequently power is utilized. A new class of methods using wireless sensing has been introduced recently...
This paper presents a new approach to include fading effects due to human in a wireless link and exploit it for activity recognition. It is proposed as a low-cost, low complexity solution for detecting human activity by considering fading characteristics of received signal strength (RSS) at 2.4GHz frequency on commercial IEEE 802.11 devices. The RSS mean and the fluctuation analysis (FA) are two features...
This preliminary study reports on the combined use of wireless accelerometers and wireless EMG sensors for monitoring walking patterns. The sensor data was analyzed in frequency domain through FFT, PSD and time-frequency spectrogram analysis. Accelerometer spectra was found to shift towards lower frequencies (<3 Hz) while EMG spectra of selected muscles shifted towards higher frequencies (>50...
This paper raises a method for indoor location by using WIFI wireless signals auxiliary for independent sensors localization to realize a continuous and seamless indoor localization. Independent sensors localization uses dead reckoning method mainly including three factors: step number, heading and step length. However, when a person walks, step length is a random variable. It is difficult to get...
Wireless Body Area Network (WBAN) has drawn considerable attention as a means to gather vital data from on-body sensors. In WBAN, however, a star network topology is mainly supported, connecting a central coordinator to vital sensor nodes put on different positions of a human body, so the links between the coordinator and the sensor nodes are often blocked by parts of the human body when the man takes...
The purpose of this study is to develop a wireless FES rehabilitation system to assist effective improvement of the lower limbs. In this report, a prototype system combined with foot drop correction and gait evaluation using wireless surface electrical stimulator and the wireless inertial sensors was developed and tested with a right hemiplegic subject. For gait evaluation, lower limb joint angles...
This paper is concerned with monitoring of basic daily activities using inertial sensors and foot pressure sensors. Daily activities are classified into eight states: : sitting, walking, walking up, walking down, running, running up, running down, and standing. A hidden Markov model filter is used to estate activity states. Also when the activity states are walking or running, walking distance is...
Identifying walking gait events is important in gait analysis. In particular, heel-strike and toe-off are commonly used to define the stance phase and swing phase in normal human walking gait cycle. They are used to segment a stream of human motion data into discrete and meaningful sections that can be analyzed and compared with available literatures. This paper proposes multi-resolution wavelet decomposition...
This video presents a new method for mobile unobtrusive interaction with bipedal robots using the Orient on-body, fully wireless motion capture system. During the learning phase for the robot, data for motion such as waving the hands, standing on a leg, performing sit-ups and squats is captured from a human operator strapped with the Orient specks. Key features are extracted from the captured motion...
In recent years, the use of inertial sensing for body motion recognition has been demonstrated. However, existing work generally focuses on upper-body movements, which involve smaller scale movements and are less rapid. In this paper, we present two distinctive types of demonstration that show how on-body wireless inertial sensing can be used to capture detail inertial information of the more rapidly...
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