Adaptive Wearable Smart Fabric based on Body Posture and Temperature

Wearable computing evolved and intertwined with devices such as goggles, watches, necklaces and bands. Prominent applications envelop the areas such as health, fitness and business alerts. Fashion designers are one of the early adopters of this technology by incorporating ready-to-wear health care aspects in garments and accommodating comfort, and aesthetics. This paper proposes improved design with the addition of a couple of more monitoring parameters such as body temperatures and posture ergonomics. The objective of this study is to provide an adaptive wearable smart fabric where in the transducers and actuators shall be integrated within the fabric so as to acquire the data parameters and enable smart decision support analysis. The data parameters considered are, different postures of the person together with the internal and external temperature of the body. This adaptive fabric shall have the intelligence to get inflated on its own by identifying the posture and movement of the person during the sleep hours. This also provides an adaptive insulation to the user based on varying weather conditions.